Timezone: »
Invited Talk - Satindar Singh
Satinder Singh
Fri Dec 08 09:10 AM -- 09:50 AM (PST) @
Author Information
Satinder Singh (University of Michigan)
More from the Same Authors
-
2020 Workshop: Deep Reinforcement Learning »
Pieter Abbeel · Chelsea Finn · Joelle Pineau · David Silver · Satinder Singh · Coline Devin · Misha Laskin · Kimin Lee · Janarthanan Rajendran · Vivek Veeriah -
2019 Workshop: Deep Reinforcement Learning »
Pieter Abbeel · Chelsea Finn · Joelle Pineau · David Silver · Satinder Singh · Joshua Achiam · Carlos Florensa · Christopher Grimm · Haoran Tang · Vivek Veeriah -
2019 Poster: Discovery of Useful Questions as Auxiliary Tasks »
Vivek Veeriah · Matteo Hessel · Zhongwen Xu · Janarthanan Rajendran · Richard L Lewis · Junhyuk Oh · Hado van Hasselt · David Silver · Satinder Singh -
2019 Poster: No-Press Diplomacy: Modeling Multi-Agent Gameplay »
Philip Paquette · Yuchen Lu · SETON STEVEN BOCCO · Max Smith · Satya O.-G. · Jonathan K. Kummerfeld · Joelle Pineau · Satinder Singh · Aaron Courville -
2018 Workshop: Deep Reinforcement Learning »
Pieter Abbeel · David Silver · Satinder Singh · Joelle Pineau · Joshua Achiam · Rein Houthooft · Aravind Srinivas -
2018 Poster: On Learning Intrinsic Rewards for Policy Gradient Methods »
Zeyu Zheng · Junhyuk Oh · Satinder Singh -
2018 Poster: Completing State Representations using Spectral Learning »
Nan Jiang · Alex Kulesza · Satinder Singh -
2017 : Afternoon Panel discussion »
Brian Skyrms · Satinder Singh · Jacob Andreas -
2017 : "Language Emergence as Boundedly Optimal Control" »
Satinder Singh -
2017 : Minimax-Regret Querying on Side Effects in Factored Markov Decision Processes »
Satinder Singh -
2017 Symposium: Deep Reinforcement Learning »
Pieter Abbeel · Yan Duan · David Silver · Satinder Singh · Junhyuk Oh · Rein Houthooft -
2017 Poster: Repeated Inverse Reinforcement Learning »
Kareem Amin · Nan Jiang · Satinder Singh -
2017 Spotlight: Repeated Inverse Reinforcement Learning »
Kareem Amin · Nan Jiang · Satinder Singh -
2017 Poster: Value Prediction Network »
Junhyuk Oh · Satinder Singh · Honglak Lee -
2016 Workshop: Deep Reinforcement Learning »
David Silver · Satinder Singh · Pieter Abbeel · Peter Chen -
2015 Workshop: Deep Reinforcement Learning »
Pieter Abbeel · John Schulman · Satinder Singh · David Silver -
2015 Poster: Action-Conditional Video Prediction using Deep Networks in Atari Games »
Junhyuk Oh · Xiaoxiao Guo · Honglak Lee · Richard L Lewis · Satinder Singh -
2015 Spotlight: Action-Conditional Video Prediction using Deep Networks in Atari Games »
Junhyuk Oh · Xiaoxiao Guo · Honglak Lee · Richard L Lewis · Satinder Singh -
2014 Poster: Deep Learning for Real-Time Atari Game Play Using Offline Monte-Carlo Tree Search Planning »
Xiaoxiao Guo · Satinder Singh · Honglak Lee · Richard L Lewis · Xiaoshi Wang -
2013 Poster: Reward Mapping for Transfer in Long-Lived Agents »
Xiaoxiao Guo · Satinder Singh · Richard L Lewis -
2013 Session: Oral Session 9 »
Satinder Singh -
2010 Poster: Reward Design via Online Gradient Ascent »
Jonathan D Sorg · Satinder Singh · Richard L Lewis -
2008 Poster: Simple Local Models for Complex Dynamical Systems »
Erik Talvitie · Satinder Singh -
2008 Oral: Simple Local Models for Complex Dynamical Systems »
Erik Talvitie · Satinder Singh -
2007 Oral: Exponential Family Predictive Representations of State »
David Wingate · Satinder Singh -
2007 Poster: Exponential Family Predictive Representations of State »
David Wingate · Satinder Singh