Workshop
Ecological Theory of Reinforcement Learning: How Does Task Design Influence Agent Learning?
Manfred Díaz · Hiroki Furuta · Elise van der Pol · Lisa Lee · Shixiang (Shane) Gu · Pablo Samuel Castro · Simon Du · Marc Bellemare · Sergey Levine
Tue 14 Dec, 5 a.m. PST
This workshop builds connections between different areas of RL centered around the understanding of algorithms and their context. We are interested in questions such as, but not limited to: (i) How can we gauge the complexity of an RL problem?, (ii) Which classes of algorithms can tackle which classes of problems?, and (iii) How can we develop practically applicable guidelines for formulating RL tasks that are tractable to solve? We expect submissions that address these and other related questions through an ecological and data-centric view, pushing forward the limits of our comprehension of the RL problem.
Chat is not available.
Timezone: America/Los_Angeles
Schedule
Tue 5:00 a.m. - 5:10 a.m.
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Introductory Remarks
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Intro
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SlidesLive Video |
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Tue 5:10 a.m. - 5:30 a.m.
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Artificial what?
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Invited Talk
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SlidesLive Video |
Shane Legg 🔗 |
Tue 5:30 a.m. - 5:40 a.m.
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Shane Legg ( Live Q&A ) > link | 🔗 |
Tue 5:40 a.m. - 6:00 a.m.
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What makes for an interesting RL problem?
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Invited Talk
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SlidesLive Video |
Joelle Pineau 🔗 |
Tue 6:00 a.m. - 6:10 a.m.
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Joelle Pineau ( Live Q&A ) > link | 🔗 |
Tue 6:10 a.m. - 6:25 a.m.
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HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning
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Oral
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SlidesLive Video |
Ziniu Li · Yingru Li · Yushun Zhang · Tong Zhang · Zhiquan Luo 🔗 |
Tue 6:25 a.m. - 6:40 a.m.
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Grounding an Ecological Theory of Artificial Intelligence in Human Evolution
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Oral
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SlidesLive Video |
Eleni Nisioti · Clément Moulin-Frier 🔗 |
Tue 6:40 a.m. - 6:50 a.m.
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Virtual Coffee Break link | 🔗 |
Tue 6:50 a.m. - 7:10 a.m.
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Sculpting (human-like) AI systems by sculpting their (social) environments
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Invited Talk
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SlidesLive Video |
Pierre-Yves Oudeyer 🔗 |
Tue 7:10 a.m. - 7:20 a.m.
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Pierre-Yves Oudeyer ( Live Q&A ) > link | 🔗 |
Tue 7:20 a.m. - 7:40 a.m.
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Towards RL applications in video games and with human users
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Invited Talk
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SlidesLive Video |
Katja Hofmann 🔗 |
Tue 7:40 a.m. - 7:50 a.m.
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Katja Hofmann ( Live Q&A ) > link | 🔗 |
Tue 7:50 a.m. - 8:05 a.m.
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Habitat 2.0: Training Home Assistants to Rearrange their Habitat
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Oral
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SlidesLive Video |
18 presentersAndrew Szot · Alexander Clegg · Eric Undersander · Erik Wijmans · Yili Zhao · Noah Maestre · Mustafa Mukadam · Oleksandr Maksymets · Aaron Gokaslan · Sameer Dharur · Franziska Meier · Wojciech Galuba · Angel Chang · Zsolt Kira · Vladlen Koltun · Jitendra Malik · Manolis Savva · Dhruv Batra |
Tue 8:05 a.m. - 8:20 a.m.
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Embodied Intelligence via Learning and Evolution
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Contributed Talk
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SlidesLive Video |
Agrim Gupta 🔗 |
Tue 8:20 a.m. - 8:40 a.m.
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A Methodology for RL Environment Research
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Invited Talk
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SlidesLive Video |
Daniel Tanis 🔗 |
Tue 8:40 a.m. - 8:50 a.m.
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Daniel Tanis ( Live Q&A ) > link | 🔗 |
Tue 8:50 a.m. - 9:00 a.m.
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Virtual Coffee Break link | 🔗 |
Tue 9:00 a.m. - 10:00 a.m.
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Virtual Poster Session ( Poster Session ) > link | 🔗 |
Tue 10:00 a.m. - 10:20 a.m.
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Environment Capacity
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Invited Talk
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SlidesLive Video |
Benjamin Van Roy 🔗 |
Tue 10:20 a.m. - 10:30 a.m.
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Benjamin van Roy ( Live Q&A ) > link | 🔗 |
Tue 10:30 a.m. - 10:50 a.m.
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A Universal Framework for Reinforcement Learning
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Invited Talk
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SlidesLive Video |
Warren Powell 🔗 |
Tue 10:50 a.m. - 11:00 a.m.
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Warren Powell ( Live Q&A ) > link | 🔗 |
Tue 11:00 a.m. - 11:15 a.m.
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Representation Learning for Online and Offline RL in Low-rank MDPs
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Oral
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SlidesLive Video |
Masatoshi Uehara · Xuezhou Zhang · Wen Sun 🔗 |
Tue 11:15 a.m. - 11:30 a.m.
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Understanding the Effects of Dataset Composition on Offline Reinforcement Learning
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Oral
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SlidesLive Video |
Kajetan Schweighofer · Markus Hofmarcher · Marius-Constantin Dinu · Angela Bitto · Philipp Renz · Vihang Patil · Sepp Hochreiter 🔗 |
Tue 11:30 a.m. - 11:50 a.m.
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Structural Assumptions for Better Generalization in Reinforcement Learning
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Invited Talk
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SlidesLive Video |
Amy Zhang 🔗 |
Tue 11:50 a.m. - 12:00 p.m.
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Amy Zhang ( Live Q&A ) > link | 🔗 |
Tue 12:00 p.m. - 12:10 p.m.
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Virtual Coffee Break link | 🔗 |
Tue 12:10 p.m. - 12:30 p.m.
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Reinforcement learning: It's all in the mind
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Invited Talk
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SlidesLive Video |
Tom Griffiths 🔗 |
Tue 12:30 p.m. - 12:40 p.m.
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Tom Griffiths ( Live Q&A ) > link | 🔗 |
Tue 12:40 p.m. - 1:00 p.m.
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Curriculum-based Learning: An Effective Approach for Acquiring Dynamic Skills
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Invited Talk
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SlidesLive Video |
Michiel van de Panne 🔗 |
Tue 1:00 p.m. - 1:10 p.m.
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Michiel van de Panne ( Live Q&A ) > link | 🔗 |
Tue 1:10 p.m. - 2:00 p.m.
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Live Panel Discussion
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Discussion Panel
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link
SlidesLive Video |
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Tue 2:00 p.m. - 2:15 p.m.
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BIG-Gym: A Crowd-Sourcing Challenge for RL Environments and Behaviors
(
Launch
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SlidesLive Video |
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Tue 2:15 p.m. - 2:20 p.m.
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Closing Remarks
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Remarks
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