Sat 6:15 a.m. - 6:25 a.m.
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Opening Remarks
(
Introduction
)
>
SlidesLive Video
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C茅dric Colas
馃敆
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Sat 6:25 a.m. - 7:05 a.m.
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Georg Martius - Intrinsic Motivations for Efficient Exploration in Reinforcement Learning
(
Invited Talk
)
>
SlidesLive Video
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馃敆
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Sat 7:05 a.m. - 7:45 a.m.
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Doina Precup - Towards a General Blueprint for Continual Reinforcement Learning
(
Invited Talk
)
>
SlidesLive Video
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馃敆
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Sat 7:45 a.m. - 8:00 a.m.
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Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning
(
Contributed Talk
)
>
SlidesLive Video
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馃敆
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Sat 8:00 a.m. - 9:00 a.m.
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Break and Posters
(
Break and Posters
)
>
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馃敆
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Sat 9:00 a.m. - 9:15 a.m.
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What can AI Learn from Human Exploration?
(
Contributed Talk
)
>
SlidesLive Video
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馃敆
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Sat 9:15 a.m. - 9:55 a.m.
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Michael Tomasello - Agency and Cognitive Development
(
Invited Talk
)
>
SlidesLive Video
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馃敆
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Sat 9:55 a.m. - 11:30 a.m.
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Lunch & Mentoring Session
(
Lunch & Mentoring Session
)
>
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馃敆
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Sat 11:30 a.m. - 11:45 a.m.
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Voyager: An Open-Ended Embodied Agent with Large Language Models
(
Contributed Talk
)
>
SlidesLive Video
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馃敆
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Sat 11:45 a.m. - 12:25 p.m.
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Yannick Schroecker - Human-Timescale Adaptation in an Open-Ended Task Space
(
Invited Talk
)
>
SlidesLive Video
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馃敆
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Sat 12:25 p.m. - 1:05 p.m.
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Daniel Polani - Information and its Flow: From Dynamics to Agency and Back
(
Invited Talk
)
>
SlidesLive Video
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馃敆
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Sat 1:05 p.m. - 2:05 p.m.
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Break and Posters
(
Break and Posters
)
>
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馃敆
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Sat 2:05 p.m. - 2:45 p.m.
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Dani Bassett - Agents of Curiosity: Testing Network Theories in Human and Non-Human Inquirers
(
Invited Talk
)
>
SlidesLive Video
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馃敆
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Sat 2:45 p.m. - 3:25 p.m.
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Natalia V茅lez - Studying Large-Scale Collaborations in Open-Ended Games
(
Invited Talk
)
>
SlidesLive Video
|
馃敆
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Sat 3:25 p.m. - 3:30 p.m.
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Closing Remarks
(
Closing Remarks
)
>
SlidesLive Video
|
馃敆
|
-
|
Reinforcement Learning of Diverse Skills using Mixture of Deep Experts
(
Poster
)
>
link
|
Onur Celik 路 Aleksandar Taranovic 路 Gerhard Neumann
馃敆
|
-
|
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
(
Poster
)
>
link
|
Alexander Nikulin 路 Vladislav Kurenkov 路 Ilya Zisman 路 Viacheslav Sinii 路 Artem Agarkov 路 Sergey Kolesnikov
馃敆
|
-
|
Progressively Efficient Communication
(
Poster
)
>
link
|
Khanh Nguyen 路 Ruijie Zheng 路 Hal Daum茅 III 路 Furong Huang 路 Karthik Narasimhan
馃敆
|
-
|
Towards a General Framework for Continual Learning with Pre-training
(
Poster
)
>
link
|
Liyuan Wang 路 Jingyi Xie 路 Xingxing Zhang 路 Hang Su 路 Jun Zhu
馃敆
|
-
|
Intrinsically Motivated Social Play in Virtual Infants
(
Poster
)
>
link
|
Chris Doyle 路 Sarah Shader 路 Michelle Lau 路 Megumi Sano 路 Dan Yamins 路 Nick Haber
馃敆
|
-
|
Why Open-Ended Agency Should be Formalized on Hierarchical Empowerment-Gain Maximization
(
Poster
)
>
link
|
Thomas Ringstrom
馃敆
|
-
|
Voyager: An Open-Ended Embodied Agent with Large Language Models
(
Poster
)
>
link
|
Guanzhi Wang 路 Yuqi Xie 路 Yunfan Jiang 路 Ajay Mandlekar 路 Chaowei Xiao 路 Yuke Zhu 路 Linxi Fan 路 Animashree Anandkumar
馃敆
|
-
|
High-fidelity social learning via shared episodic memories improves collaborative foraging
(
Poster
)
>
link
|
Ismael T. Freire 路 Paul Verschure
馃敆
|
-
|
Imprinting in autonomous artificial agents using deep reinforcement learning
(
Poster
)
>
link
|
Donsuk Lee 路 Samantha Wood 路 Justin Wood
馃敆
|
-
|
Neurobehavior of exploring AI agents
(
Poster
)
>
link
|
Isaac Kauvar 路 Chris Doyle 路 Nick Haber
馃敆
|
-
|
Reconciling Spatial and Temporal Abstractions for Goal Representation
(
Poster
)
>
link
|
Mehdi Zadem 路 Sergio Mover 路 Sao Mai Nguyen
馃敆
|
-
|
What can AI Learn from Human Exploration? Intrinsically-Motivated Humans and Agents in Open-World Exploration
(
Poster
)
>
link
|
Yuqing Du 路 Eliza Kosoy 路 Alyssa L Dayan 路 Maria Rufova 路 Pieter Abbeel 路 Alison Gopnik
馃敆
|
-
|
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity
(
Poster
)
>
link
|
Jaedong Hwang 路 Zhang-Wei Hong 路 Eric Chen 路 Akhilan Boopathy 路 Pulkit Agrawal 路 Ila Fiete
馃敆
|
-
|
FOCUS: Object-Centric World Models for Robotic Manipulation
(
Poster
)
>
link
|
Stefano Ferraro 路 Pietro Mazzaglia 路 Tim Verbelen 路 Bart Dhoedt
馃敆
|
-
|
DeepThought: an architecture for autonomous self-motivated systems
(
Poster
)
>
link
|
Arlindo L Oliveira 路 Tiago Domingos 路 Mario Figueiredo 路 Pedro Lima
馃敆
|
-
|
Regularity as Intrinsic Reward for Free Play
(
Poster
)
>
link
|
Cansu Sancaktar 路 Justus Piater 路 Georg Martius
馃敆
|
-
|
Children prioritize purely exploratory actions in observe-vs.-bet tasks
(
Poster
)
>
link
|
Eunice Yiu 路 Kai Sandbrink 路 Alison Gopnik
馃敆
|
-
|
Skill-Based Reinforcement Learning with Intrinsic Reward Matching
(
Poster
)
>
link
|
Ademi Adeniji 路 Amber Xie 路 Pieter Abbeel
馃敆
|
-
|
From Child's Play to AI: Insights into Automated Causal Curriculum Learning
(
Poster
)
>
link
|
Annya Dahmani 路 Eunice Yiu 路 Tabitha Lee 路 Nan Rosemary Ke 路 Oliver Kroemer 路 Alison Gopnik
馃敆
|
-
|
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data
(
Poster
)
>
link
|
Chongyi Zheng 路 Benjamin Eysenbach 路 Homer Walke 路 Patrick Yin 路 Kuan Fang 路 Russ Salakhutdinov 路 Sergey Levine
馃敆
|
-
|
Enhancing Understanding in Generative Agents through Active Inquiring
(
Poster
)
>
link
|
Jiaxin Ge 路 Kaiya Zhao 路 Manuel Cortes 路 Jovana Kondic 路 Shuying Luo 路 Michelangelo Naim 路 Andrew Ahn 路 Guangyu Robert Yang
馃敆
|
-
|
Codeplay: Autotelic Learning through Collaborative Self-Play in Programming Environments
(
Poster
)
>
link
|
Laetitia Teodorescu 路 C茅dric Colas 路 Matthew Bowers 路 Thomas Carta 路 Pierre-Yves Oudeyer
馃敆
|
-
|
Learning Diverse Skills for Local Navigation under Multi-constraint Optimality
(
Poster
)
>
link
|
Jin Cheng 路 Marin Vlastelica Pogan膷i膰 路 Pavel Kolev 路 Chenhao Li 路 Georg Martius
馃敆
|
-
|
Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning
(
Poster
)
>
link
|
Adriana Hugessen 路 Roger Creus Castanyer 路 Glen Berseth
馃敆
|
-
|
Modeling habituation in infants and adults using rational curiosity over perceptual embeddings
(
Poster
)
>
link
|
Gal Raz 路 Anjie Cao 路 Rebecca Saxe 路 Michael C Frank
馃敆
|
-
|
Generating Human-Like Goals by Synthesizing Reward-Producing Programs
(
Poster
)
>
link
|
Guy Davidson 路 Graham Todd 路 Todd Gureckis 路 Julian Togelius 路 Brenden Lake
馃敆
|
-
|
Generative Intrinsic Optimization: Intrisic Control with Model Learning
(
Poster
)
>
link
|
Jianfei Ma
馃敆
|
-
|
Learning Interpretable Libraries by Compressing and Documenting Code
(
Poster
)
>
link
|
Gabriel Grand 路 Catherine Wong 路 Matthew Bowers 路 Theo X. Olausson 路 Muxin Liu 路 Josh Tenenbaum 路 Jacob Andreas
馃敆
|