Timezone: »
Panel Discussion led by Grace Lindsay
Grace Lindsay · Blake Richards · Doina Precup · Jacqueline Gottlieb · Jeff Clune · Jane Wang · Richard Sutton · Angela Yu · Ida Momennejad
Author Information
Grace Lindsay (University College London)
Blake Richards (University of Toronto)
Doina Precup (McGill University / Mila / DeepMind Montreal)
Jacqueline Gottlieb (Columbia University)
Jeff Clune (Uber AI Labs)
Jeff is a senior research scientist and founding member of Uber AI Labs. He is also the Loy and Edith Harris Associate Professor in Computer Science University of Wyoming, where he directs the Evolving AI Lab (http://EvolvingAI.org). He researches robotics and creating artificial intelligence in neural networks, either via deep learning or evolutionary algorithms.
Jane Wang (DeepMind)
Jane Wang is a research scientist at DeepMind on the neuroscience team, working on meta-reinforcement learning and neuroscience-inspired artificial agents. Her background is in physics, complex systems, and computational and cognitive neuroscience.
Richard Sutton
Angela Yu (UC San Diego)
Ida Momennejad (Columbia University)
More from the Same Authors
-
2021 : Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents »
Jane Wang · Michael King · Nicolas Porcel · Zeb Kurth-Nelson · Tina Zhu · Charles Deck · Peter Choy · Mary Cassin · Malcolm Reynolds · Francis Song · Gavin Buttimore · David Reichert · Neil Rabinowitz · Loic Matthey · Demis Hassabis · Alexander Lerchner · Matt Botvinick -
2021 : Continual with Sujeeth Bharadwaj, Gabriel Silva, Eric Traut, Jane Wang »
Sujeeth Bharadwaj · Jane Wang · Weiwei Yang -
2021 : Single-Shot Pruning for Offline Reinforcement Learning »
Samin Yeasar Arnob · · Sergey Plis · Doina Precup -
2021 : Importance of Empirical Sample Complexity Analysis for Offline Reinforcement Learning »
Samin Yeasar Arnob · Riashat Islam · Doina Precup -
2022 : The Paradox of Choice: On the Role of Attention in Hierarchical Reinforcement Learning »
Andrei Nica · Khimya Khetarpal · Doina Precup -
2022 : Multi-Environment Pretraining Enables Transfer to Action Limited Datasets »
David Venuto · Mengjiao (Sherry) Yang · Pieter Abbeel · Doina Precup · Igor Mordatch · Ofir Nachum -
2022 : Bayesian Q-learning With Imperfect Expert Demonstrations »
Fengdi Che · Xiru Zhu · Doina Precup · David Meger · Gregory Dudek -
2022 : Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks »
Sitao Luan · Mingde Zhao · Chenqing Hua · Xiao-Wen Chang · Doina Precup -
2022 : Bayesian Q-learning With Imperfect Expert Demonstrations »
Fengdi Che · Xiru Zhu · Doina Precup · David Meger · Gregory Dudek -
2023 Poster: For SALE: State-Action Representation Learning for Deep Reinforcement Learning »
Scott Fujimoto · Wei-Di Chang · Edward Smith · Shixiang (Shane) Gu · Doina Precup · David Meger -
2023 Poster: Meta-in-context learning in large language models »
Julian Coda-Forno · Marcel Binz · Zeynep Akata · Matt Botvinick · Jane Wang · Eric Schulz -
2023 Poster: When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability »
Sitao Luan · Chenqing Hua · Minkai Xu · Qincheng Lu · Jiaqi Zhu · Xiao-Wen Chang · Jie Fu · Jure Leskovec · Doina Precup -
2023 Poster: A Definition of Continual Reinforcement Learning »
David Abel · Andre Barreto · Benjamin Van Roy · Doina Precup · Hado van Hasselt · Satinder Singh -
2023 Poster: Prediction and Control in Continual Reinforcement Learning »
Nishanth Anand · Doina Precup -
2023 Poster: Passive learning of active causal strategies in agents and language models »
Andrew Lampinen · Stephanie Chan · Ishita Dasgupta · Andrew Nam · Jane Wang -
2022 Spotlight: Lightning Talks 3B-3 »
Sitao Luan · Zhiyuan You · Ruofan Liu · Linhao Qu · Yuwei Fu · Jiaxi Wang · Chunyu Wei · Jian Liang · xiaoyuan luo · Di Wu · Yun Lin · Lei Cui · Ji Wu · Chenqing Hua · Yujun Shen · Qincheng Lu · XIANGLIN YANG · Benoit Boulet · Manning Wang · Di Liu · Lei Huang · Fei Wang · Kai Yang · Jiaqi Zhu · Jin Song Dong · Zhijian Song · Xin Lu · Mingde Zhao · Shuyuan Zhang · Yu Zheng · Xiao-Wen Chang · Xinyi Le · Doina Precup -
2022 Spotlight: Revisiting Heterophily For Graph Neural Networks »
Sitao Luan · Chenqing Hua · Qincheng Lu · Jiaqi Zhu · Mingde Zhao · Shuyuan Zhang · Xiao-Wen Chang · Doina Precup -
2022 : Invited talk: "Predicting mouse neural activity with models trained through supervised, unsupervised, and reinforcement learning" »
Grace Lindsay -
2022 : Simulating Human Gaze with Neural Visual Attention »
Leo Schwinn · Doina Precup · Bjoern Eskofier · Dario Zanca -
2022 : Simulating Human Gaze with Neural Visual Attention »
Leo Schwinn · Doina Precup · Bjoern Eskofier · Dario Zanca -
2022 Workshop: All Things Attention: Bridging Different Perspectives on Attention »
Abhijat Biswas · Akanksha Saran · Khimya Khetarpal · Reuben Aronson · Ruohan Zhang · Grace Lindsay · Scott Niekum -
2022 Workshop: 3rd Offline Reinforcement Learning Workshop: Offline RL as a "Launchpad" »
Aviral Kumar · Rishabh Agarwal · Aravind Rajeswaran · Wenxuan Zhou · George Tucker · Doina Precup · Aviral Kumar -
2022 Poster: Revisiting Heterophily For Graph Neural Networks »
Sitao Luan · Chenqing Hua · Qincheng Lu · Jiaqi Zhu · Mingde Zhao · Shuyuan Zhang · Xiao-Wen Chang · Doina Precup -
2022 Poster: Data Distributional Properties Drive Emergent In-Context Learning in Transformers »
Stephanie Chan · Adam Santoro · Andrew Lampinen · Jane Wang · Aaditya Singh · Pierre Richemond · James McClelland · Felix Hill -
2022 Poster: Semantic Exploration from Language Abstractions and Pretrained Representations »
Allison Tam · Neil Rabinowitz · Andrew Lampinen · Nicholas Roy · Stephanie Chan · DJ Strouse · Jane Wang · Andrea Banino · Felix Hill -
2022 Poster: Continuous MDP Homomorphisms and Homomorphic Policy Gradient »
Sahand Rezaei-Shoshtari · Rosie Zhao · Prakash Panangaden · David Meger · Doina Precup -
2021 : Live Q&A Session 2 with Susan Athey, Yoshua Bengio, Sujeeth Bharadwaj, Jane Wang, Joshua Vogelstein, Weiwei Yang »
Susan Athey · Yoshua Bengio · Sujeeth Bharadwaj · Jane Wang · Weiwei Yang · Joshua T Vogelstein -
2021 Workshop: Offline Reinforcement Learning »
Rishabh Agarwal · Aviral Kumar · George Tucker · Justin Fu · Nan Jiang · Doina Precup · Aviral Kumar -
2021 : Panel I: Human decisions »
Jennifer Trueblood · Alex Peysakhovich · Angela Yu · Ori Plonsky · Tal Yarkoni · Daniel Bjorkegren -
2020 : Closing remarks »
Raymond Chua · Feryal Behbahani · Julie J Lee · Rui Ponte Costa · Doina Precup · Blake Richards · Ida Momennejad -
2020 : Invited Talk #7 QnA - Yael Niv »
Yael Niv · Doina Precup · Raymond Chua · Feryal Behbahani -
2020 : Speaker Introduction: Yael Niv »
Doina Precup · Raymond Chua · Feryal Behbahani -
2020 Workshop: Offline Reinforcement Learning »
Aviral Kumar · Rishabh Agarwal · George Tucker · Lihong Li · Doina Precup · Aviral Kumar -
2020 : Panel Discussions »
Grace Lindsay · George Konidaris · Shakir Mohamed · Kimberly Stachenfeld · Peter Dayan · Yael Niv · Doina Precup · Catherine Hartley · Ishita Dasgupta -
2020 Workshop: Biological and Artificial Reinforcement Learning »
Raymond Chua · Feryal Behbahani · Julie J Lee · Sara Zannone · Rui Ponte Costa · Blake Richards · Ida Momennejad · Doina Precup -
2020 : Organizers Opening Remarks »
Raymond Chua · Feryal Behbahani · Julie J Lee · Ida Momennejad · Rui Ponte Costa · Blake Richards · Doina Precup -
2020 : Keynote: Doina Precup »
Doina Precup -
2020 : Introduction for invited speaker, Frank Hutter »
Jane Wang -
2020 Workshop: Meta-Learning »
Jane Wang · Joaquin Vanschoren · Erin Grant · Jonathan Richard Schwarz · Francesco Visin · Jeff Clune · Roberto Calandra -
2020 Poster: Reward Propagation Using Graph Convolutional Networks »
Martin Klissarov · Doina Precup -
2020 Spotlight: Reward Propagation Using Graph Convolutional Networks »
Martin Klissarov · Doina Precup -
2020 Poster: An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay »
Scott Fujimoto · David Meger · Doina Precup -
2020 Poster: Forethought and Hindsight in Credit Assignment »
Veronica Chelu · Doina Precup · Hado van Hasselt -
2020 Tutorial: (Track1) Where Neuroscience meets AI (And What’s in Store for the Future) »
Jane Wang · Kevin Miller · Adam Marblestone -
2019 : Panel Session: A new hope for neuroscience »
Yoshua Bengio · Blake Richards · Timothy Lillicrap · Ila Fiete · David Sussillo · Doina Precup · Konrad Kording · Surya Ganguli -
2019 : Invited Talk: Sensory prediction error signals in the neocortex »
Blake Richards -
2019 : Poster and Coffee Break 2 »
Karol Hausman · Kefan Dong · Ken Goldberg · Lihong Li · Lin Yang · Lingxiao Wang · Lior Shani · Liwei Wang · Loren Amdahl-Culleton · Lucas Cassano · Marc Dymetman · Marc Bellemare · Marcin Tomczak · Margarita Castro · Marius Kloft · Marius-Constantin Dinu · Markus Holzleitner · Martha White · Mengdi Wang · Michael Jordan · Mihailo Jovanovic · Ming Yu · Minshuo Chen · Moonkyung Ryu · Muhammad Zaheer · Naman Agarwal · Nan Jiang · Niao He · Nikolaus Yasui · Nikos Karampatziakis · Nino Vieillard · Ofir Nachum · Olivier Pietquin · Ozan Sener · Pan Xu · Parameswaran Kamalaruban · Paul Mineiro · Paul Rolland · Philip Amortila · Pierre-Luc Bacon · Prakash Panangaden · Qi Cai · Qiang Liu · Quanquan Gu · Raihan Seraj · Richard Sutton · Rick Valenzano · Robert Dadashi · Rodrigo Toro Icarte · Roshan Shariff · Roy Fox · Ruosong Wang · Saeed Ghadimi · Samuel Sokota · Sean Sinclair · Sepp Hochreiter · Sergey Levine · Sergio Valcarcel Macua · Sham Kakade · Shangtong Zhang · Sheila McIlraith · Shie Mannor · Shimon Whiteson · Shuai Li · Shuang Qiu · Wai Lok Li · Siddhartha Banerjee · Sitao Luan · Tamer Basar · Thinh Doan · Tianhe Yu · Tianyi Liu · Tom Zahavy · Toryn Klassen · Tuo Zhao · Vicenç Gómez · Vincent Liu · Volkan Cevher · Wesley Suttle · Xiao-Wen Chang · Xiaohan Wei · Xiaotong Liu · Xingguo Li · Xinyi Chen · Xingyou Song · Yao Liu · YiDing Jiang · Yihao Feng · Yilun Du · Yinlam Chow · Yinyu Ye · Yishay Mansour · · Yonathan Efroni · Yongxin Chen · Yuanhao Wang · Bo Dai · Chen-Yu Wei · Harsh Shrivastava · Hongyang Zhang · Qinqing Zheng · SIDDHARTHA SATPATHI · Xueqing Liu · Andreu Vall -
2019 : Poster Presentations »
Rahul Mehta · Andrew Lampinen · Binghong Chen · Sergio Pascual-Diaz · Jordi Grau-Moya · Aldo Faisal · Jonathan Tompson · Yiren Lu · Khimya Khetarpal · Martin Klissarov · Pierre-Luc Bacon · Doina Precup · Thanard Kurutach · Aviv Tamar · Pieter Abbeel · Jinke He · Maximilian Igl · Shimon Whiteson · Wendelin Boehmer · Raphaël Marinier · Olivier Pietquin · Karol Hausman · Sergey Levine · Chelsea Finn · Tianhe Yu · Lisa Lee · Benjamin Eysenbach · Emilio Parisotto · Eric Xing · Ruslan Salakhutdinov · Hongyu Ren · Anima Anandkumar · Deepak Pathak · Christopher Lu · Trevor Darrell · Alexei Efros · Phillip Isola · Feng Liu · Bo Han · Gang Niu · Masashi Sugiyama · Saurabh Kumar · Janith Petangoda · Johan Ferret · James McClelland · Kara Liu · Animesh Garg · Robert Lange -
2019 : Poster Spotlight 2 »
Aaron Sidford · Mengdi Wang · Lin Yang · Yinyu Ye · Zuyue Fu · Zhuoran Yang · Yongxin Chen · Zhaoran Wang · Ofir Nachum · Bo Dai · Ilya Kostrikov · Dale Schuurmans · Ziyang Tang · Yihao Feng · Lihong Li · Denny Zhou · Qiang Liu · Rodrigo Toro Icarte · Ethan Waldie · Toryn Klassen · Rick Valenzano · Margarita Castro · Simon Du · Sham Kakade · Ruosong Wang · Minshuo Chen · Tianyi Liu · Xingguo Li · Zhaoran Wang · Tuo Zhao · Philip Amortila · Doina Precup · Prakash Panangaden · Marc Bellemare -
2019 : Panel Discussion »
Richard Sutton · Doina Precup -
2019 : Poster and Coffee Break 1 »
Aaron Sidford · Aditya Mahajan · Alejandro Ribeiro · Alex Lewandowski · Ali H Sayed · Ambuj Tewari · Angelika Steger · Anima Anandkumar · Asier Mujika · Hilbert J Kappen · Bolei Zhou · Byron Boots · Chelsea Finn · Chen-Yu Wei · Chi Jin · Ching-An Cheng · Christina Yu · Clement Gehring · Craig Boutilier · Dahua Lin · Daniel McNamee · Daniel Russo · David Brandfonbrener · Denny Zhou · Devesh Jha · Diego Romeres · Doina Precup · Dominik Thalmeier · Eduard Gorbunov · Elad Hazan · Elena Smirnova · Elvis Dohmatob · Emma Brunskill · Enrique Munoz de Cote · Ethan Waldie · Florian Meier · Florian Schaefer · Ge Liu · Gergely Neu · Haim Kaplan · Hao Sun · Hengshuai Yao · Jalaj Bhandari · James A Preiss · Jayakumar Subramanian · Jiajin Li · Jieping Ye · Jimmy Smith · Joan Bas Serrano · Joan Bruna · John Langford · Jonathan Lee · Jose A. Arjona-Medina · Kaiqing Zhang · Karan Singh · Yuping Luo · Zafarali Ahmed · Zaiwei Chen · Zhaoran Wang · Zhizhong Li · Zhuoran Yang · Ziping Xu · Ziyang Tang · Yi Mao · David Brandfonbrener · Shirli Di-Castro · Riashat Islam · Zuyue Fu · Abhishek Naik · Saurabh Kumar · Benjamin Petit · Angeliki Kamoutsi · Simone Totaro · Arvind Raghunathan · Rui Wu · Donghwan Lee · Dongsheng Ding · Alec Koppel · Hao Sun · Christian Tjandraatmadja · Mahdi Karami · Jincheng Mei · Chenjun Xiao · Junfeng Wen · Zichen Zhang · Ross Goroshin · Mohammad Pezeshki · Jiaqi Zhai · Philip Amortila · Shuo Huang · Mariya Vasileva · El houcine Bergou · Adel Ahmadyan · Haoran Sun · Sheng Zhang · Lukas Gruber · Yuanhao Wang · Tetiana Parshakova -
2019 : Invited Talk: Hierarchical Reinforcement Learning: Computational Advances and Neuroscience Connections »
Doina Precup -
2019 : Invited Talk #7: Richard Sutton »
Richard Sutton -
2019 : Invited Talk #6: Features or Bugs: Synergistic Idiosyncrasies in Human Learning and Decision-Making »
Angela Yu -
2019 : Invited Talk #5 : Materials Matter: How biologically inspired alternatives to conventional neural networks improve meta-learning and continual learning »
Jeff Clune -
2019 : Invited Talk #3: Predictive Cognitive Maps with Multi-scale Successor Representations and Replay »
Ida Momennejad -
2019 : Invited Talk 2: Understanding information demand at different levels of complexity »
Jacqueline Gottlieb -
2019 : Invited Talk #1: From brains to agents and back »
Jane Wang -
2019 : Opening Remarks »
Raymond Chua · Feryal Behbahani · Sara Zannone · Rui Ponte Costa · Claudia Clopath · Doina Precup · Blake Richards -
2019 Workshop: Biological and Artificial Reinforcement Learning »
Raymond Chua · Sara Zannone · Feryal Behbahani · Rui Ponte Costa · Claudia Clopath · Blake Richards · Doina Precup -
2019 Workshop: Meta-Learning »
Roberto Calandra · Ignasi Clavera Gilaberte · Frank Hutter · Joaquin Vanschoren · Jane Wang -
2019 Poster: Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks »
Sitao Luan · Mingde Zhao · Xiao-Wen Chang · Doina Precup -
2018 Poster: Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task »
Dalin Guo · Angela Yu -
2018 Poster: Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures »
Sergey Bartunov · Adam Santoro · Blake Richards · Luke Marris · Geoffrey E Hinton · Timothy Lillicrap -
2018 Poster: Temporal Regularization for Markov Decision Process »
Pierre Thodoroff · Audrey Durand · Joelle Pineau · Doina Precup -
2018 Poster: Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation »
Chaitanya Ryali · Gautam Reddy · Angela Yu -
2018 Poster: Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents »
Edoardo Conti · Vashisht Madhavan · Felipe Petroski Such · Joel Lehman · Kenneth Stanley · Jeff Clune -
2018 Poster: Learning Safe Policies with Expert Guidance »
Jessie Huang · Fa Wu · Doina Precup · Yang Cai -
2018 Poster: Beauty-in-averageness and its contextual modulations: A Bayesian statistical account »
Chaitanya Ryali · Angela Yu -
2017 : Panel Discussion »
Matt Botvinick · Emma Brunskill · Marcos Campos · Jan Peters · Doina Precup · David Silver · Josh Tenenbaum · Roy Fox -
2017 : Progress on Deep Reinforcement Learning with Temporal Abstraction (Doina Precup) »
Doina Precup -
2017 : Doina Precup »
Doina Precup -
2017 : Computational modeling of human face processing »
Angela Yu -
2017 : Workshop overview »
Michael Mozer · Angela Yu · Brenden Lake -
2017 Workshop: Hierarchical Reinforcement Learning »
Andrew G Barto · Doina Precup · Shie Mannor · Tom Schaul · Roy Fox · Carlos Florensa -
2017 Workshop: Cognitively Informed Artificial Intelligence: Insights From Natural Intelligence »
Michael Mozer · Brenden Lake · Angela Yu -
2016 : Richard Sutton (University of Alberta) »
Richard Sutton -
2016 : Rich Sutton »
Richard Sutton -
2016 Workshop: The Future of Interactive Machine Learning »
Kory Mathewson @korymath · Kaushik Subramanian · Mark Ho · Robert Loftin · Joseph L Austerweil · Anna Harutyunyan · Doina Precup · Layla El Asri · Matthew Gombolay · Jerry Zhu · Sonia Chernova · Charles Isbell · Patrick M Pilarski · Weng-Keen Wong · Manuela Veloso · Julie A Shah · Matthew Taylor · Brenna Argall · Michael Littman -
2015 Poster: Data Generation as Sequential Decision Making »
Philip Bachman · Doina Precup -
2015 Spotlight: Data Generation as Sequential Decision Making »
Philip Bachman · Doina Precup -
2015 Poster: Basis refinement strategies for linear value function approximation in MDPs »
Gheorghe Comanici · Doina Precup · Prakash Panangaden -
2014 Workshop: From Bad Models to Good Policies (Sequential Decision Making under Uncertainty) »
Odalric-Ambrym Maillard · Timothy A Mann · Shie Mannor · Jeremie Mary · Laurent Orseau · Thomas Dietterich · Ronald Ortner · Peter Grünwald · Joelle Pineau · Raphael Fonteneau · Georgios Theocharous · Esteban D Arcaute · Christos Dimitrakakis · Nan Jiang · Doina Precup · Pierre-Luc Bacon · Marek Petrik · Aviv Tamar -
2014 Poster: Optimizing Energy Production Using Policy Search and Predictive State Representations »
Yuri Grinberg · Doina Precup · Michel Gendreau -
2014 Poster: Learning with Pseudo-Ensembles »
Philip Bachman · Ouais Alsharif · Doina Precup -
2014 Spotlight: Optimizing Energy Production Using Policy Search and Predictive State Representations »
Yuri Grinberg · Doina Precup · Michel Gendreau -
2013 Poster: Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting »
Shunan Zhang · Angela Yu -
2013 Poster: Learning from Limited Demonstrations »
Beomjoon Kim · Amir-massoud Farahmand · Joelle Pineau · Doina Precup -
2013 Poster: Context-sensitive active sensing in humans »
Sheeraz Ahmad · He Huang · Angela Yu -
2013 Poster: Bellman Error Based Feature Generation using Random Projections on Sparse Spaces »
Mahdi Milani Fard · Yuri Grinberg · Amir-massoud Farahmand · Joelle Pineau · Doina Precup -
2013 Spotlight: Learning from Limited Demonstrations »
Beomjoon Kim · Amir-massoud Farahmand · Joelle Pineau · Doina Precup -
2012 Poster: Value Pursuit Iteration »
Amir-massoud Farahmand · Doina Precup -
2012 Poster: Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making »
Pradeep Shenoy · Angela Yu -
2012 Oral: Strategic Impatience in Go/NoGo versus Forced-Choice Decision-Making »
Pradeep Shenoy · Angela Yu -
2012 Poster: On-line Reinforcement Learning Using Incremental Kernel-Based Stochastic Factorization »
Andre S Barreto · Doina Precup · Joelle Pineau -
2011 Poster: Reinforcement Learning using Kernel-Based Stochastic Factorization »
Andre S Barreto · Doina Precup · Joelle Pineau -
2010 Oral: A rational decision making framework for inhibitory control »
Pradeep Shenoy · Rajesh PN Rao · Angela Yu -
2010 Poster: A rational decision making framework for inhibitory control »
Pradeep Shenoy · Rajesh PN Rao · Angela Yu -
2009 Poster: Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation »
Hamid R Maei · Csaba Szepesvari · Shalabh Batnaghar · Doina Precup · David Silver · Richard Sutton -
2009 Spotlight: Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation »
Hamid R Maei · Csaba Szepesvari · Shalabh Batnaghar · Doina Precup · David Silver · Richard Sutton -
2008 Poster: Sequential effects: Superstition or rational behavior? »
Angela Yu · Jonathan D Cohen -
2008 Spotlight: Sequential effects: Superstition or rational behavior? »
Angela Yu · Jonathan D Cohen -
2008 Poster: Bounding Performance Loss in Approximate MDP Homomorphisms »
Doina Precup · Jonathan Taylor Taylor · Prakash Panangaden -
2007 Spotlight: Sequential Hypothesis Testing under Stochastic Deadlines »
Peter Frazier · Angela Yu -
2007 Poster: Sequential Hypothesis Testing under Stochastic Deadlines »
Peter Frazier · Angela Yu -
2006 Poster: Optimal Change-Detection and Spiking Neurons »
Angela Yu