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Poster
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Tue 7:00 |
What Can Learned Intrinsic Rewards Capture? Zeyu Zheng, Junhyuk Oh, Matteo Hessel, Zhongwen Xu, Manuel Kroiss, Hado van Hasselt, David Silver, Satinder Singh |
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Poster
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Tue 7:00 |
Taylor Expansion Policy Optimization Yunhao Tang, Michal Valko, Remi Munos |
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Poster
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Tue 8:00 |
Working Memory Graphs Ricky Loynd, Roland Fernandez, Asli Celikyilmaz, Adith Swaminathan, Matthew Hausknecht |
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Poster
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Tue 8:00 |
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards Umer Siddique, Paul Weng, Matthieu Zimmer |
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Poster
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Tue 9:00 |
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination Somdeb Majumdar, Shauharda Khadka, Santiago Miret, Stephen Mcaleer, Kagan Tumer |
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Poster
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Tue 9:00 |
Variational Imitation Learning with Diverse-quality Demonstrations Voot Tangkaratt, Bo Han, Emti Khan, Masashi Sugiyama |
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Poster
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Tue 9:00 |
Hierarchically Decoupled Imitation For Morphological Transfer Donald Hejna, Lerrel Pinto, Pieter Abbeel |
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Poster
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Tue 9:00 |
Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning Sang-Hyun Lee, Seung-Woo Seo |
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Poster
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Tue 9:00 |
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeffrey Clune, Ken Stanley |
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Poster
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Tue 9:00 |
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel Brown, Russell Coleman, Ravi Srinivasan, Scott Niekum |
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Poster
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Tue 10:00 |
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Zhaohan Guo, Bernardo Avila Pires, Bilal Piot, Jean-Bastien Grill, Florent Altché, Remi Munos, Mohammad Gheshlaghi Azar |
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Poster
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Tue 10:00 |
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke, Joshua Achiam, Pieter Abbeel |
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Poster
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Tue 11:00 |
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giro-i-Nieto, Jordi Torres |
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Poster
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Tue 12:00 |
A distributional view on multi-objective policy optimization Abbas Abdolmaleki, Sandy Huang, Leonard Hasenclever, Michael Neunert, Francis Song, Martina Zambelli, Murilo Martins, Nicolas Heess, Raia Hadsell, Martin Riedmiller |
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Poster
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Tue 12:00 |
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics Arsenii Kuznetsov, Pavel Shvechikov, Alexander Grishin, Dmitry Vetrov |
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Poster
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Tue 12:00 |
Ready Policy One: World Building Through Active Learning Philip Ball, Jack Parker-Holder, Aldo Pacchiano, Krzysztof Choromanski, Stephen Roberts |
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Poster
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Tue 13:00 |
Generalization to New Actions in Reinforcement Learning Ayush Jain, Andrew Szot, Joseph Lim |
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Poster
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Tue 13:00 |
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav Sukhatme, Vladlen Koltun |
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Poster
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Tue 13:00 |
Growing Action Spaces Gregory Farquhar, Laura Gustafson, Zeming Lin, Shimon Whiteson, Nicolas Usunier, Gabriel Synnaeve |
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Poster
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Tue 14:00 |
OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning Sasha Vezhnevets, Yuhuai Wu, Maria Eckstein, Rémi Leblond, Joel Z Leibo |
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Poster
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Tue 18:00 |
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling Che Wang, Yanqiu Wu, Quan Vuong, Keith Ross |
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Poster
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Tue 18:00 |
Intrinsic Reward Driven Imitation Learning via Generative Model Xingrui Yu, Yueming LYU, Ivor Tsang |
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Poster
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Tue 18:00 |
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? Kei Ota, Tomoaki Oiki, Devesh Jha, Toshisada Mariyama, Daniel Nikovski |
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Poster
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Wed 5:00 |
Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control Jie Xu, Yunsheng Tian, Pingchuan Ma, Daniela Rus, Shinjiro Sueda, Wojciech Matusik |
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Poster
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Wed 5:00 |
Learning What to Defer for Maximum Independent Sets Sungsoo Ahn, Younggyo Seo, Jinwoo Shin |
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Poster
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Wed 5:00 |
Reinforcement Learning for Integer Programming: Learning to Cut Yunhao Tang, Shipra Agrawal, Yuri Faenza |
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Poster
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Wed 5:00 |
Implicit Generative Modeling for Efficient Exploration Neale Ratzlaff, Qinxun Bai, Fuxin Li, Wei Xu |
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Poster
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Wed 5:00 |
An Optimistic Perspective on Offline Deep Reinforcement Learning Rishabh Agarwal, Dale Schuurmans, Mohammad Norouzi |
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Poster
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Wed 5:00 |
Stabilizing Transformers for Reinforcement Learning Emilio Parisotto, Francis Song, Jack Rae, Razvan Pascanu, Caglar Gulcehre, Siddhant Jayakumar, Max Jaderberg, Raphael Lopez Kaufman, Aidan Clark, Seb Noury, Matthew Botvinick, Nicolas Heess, Raia Hadsell |
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Poster
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Wed 8:00 |
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning Kimin Lee, Younggyo Seo, Seunghyun Lee, Honglak Lee, Jinwoo Shin |
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Poster
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Wed 8:00 |
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings Jesse Zhang, Brian Cheung, Chelsea Finn, Sergey Levine, Dinesh Jayaraman |
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Poster
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Wed 8:00 |
Planning to Explore via Self-Supervised World Models Ramanan Sekar, Oleg Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak |
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Poster
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Wed 9:00 |
Leveraging Procedural Generation to Benchmark Reinforcement Learning Karl Cobbe, Chris Hesse, Jacob Hilton, John Schulman |
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Poster
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Wed 10:00 |
A Game Theoretic Framework for Model Based Reinforcement Learning Aravind Rajeswaran, Igor Mordatch, Vikash Kumar |
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Poster
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Wed 11:00 |
Revisiting Fundamentals of Experience Replay William Fedus, Prajit Ramachandran, Rishabh Agarwal, Yoshua Bengio, Hugo Larochelle, Mark Rowland, Will Dabney |
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Poster
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Wed 12:00 |
Deep Coordination Graphs Wendelin Boehmer, Vitaly Kurin, Shimon Whiteson |
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Poster
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Wed 13:00 |
Fast Adaptation to New Environments via Policy-Dynamics Value Functions Roberta Raileanu, Max Goldstein, Arthur Szlam, Facebook Rob Fergus |
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Poster
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Wed 13:00 |
Interference and Generalization in Temporal Difference Learning Emmanuel Bengio, Joelle Pineau, Doina Precup |
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Poster
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Wed 15:00 |
Agent57: Outperforming the Atari Human Benchmark Adrià Puigdomenech Badia, Bilal Piot, Steven Kapturowski, Pablo Sprechmann, Alex Vitvitskyi, Zhaohan Guo, Charles Blundell |
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Poster
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Wed 16:00 |
Bidirectional Model-based Policy Optimization Hang Lai, Jian Shen, Weinan Zhang, Yong Yu |
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Poster
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Thu 6:00 |
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning Vitchyr Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine |
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Poster
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Thu 6:00 |
Deep Reinforcement Learning with Smooth Policy Qianli Shen, Yan Li, Haoming Jiang, Zhaoran Wang, Tuo Zhao |
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Poster
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Thu 6:00 |
Provably Efficient Model-based Policy Adaptation Yuda Song, Aditi Mavalankar, Wen Sun, Sicun Gao |
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Poster
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Thu 6:00 |
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning Silviu Pitis, Harris Chan, Stephen Zhao, Bradly Stadie, Jimmy Ba |
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Poster
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Thu 7:00 |
Goal-Aware Prediction: Learning to Model What Matters Suraj Nair, Silvio Savarese, Chelsea Finn |
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Poster
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Thu 8:00 |
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control Wenlong Huang, Igor Mordatch, Deepak Pathak |
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Poster
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Thu 8:00 |
Learning Human Objectives by Evaluating Hypothetical Behavior Siddharth Reddy, Anca Dragan, Sergey Levine, Shane Legg, Jan Leike |
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Poster
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Thu 9:00 |
CURL: Contrastive Unsupervised Representations for Reinforcement Learning Michael Laskin, Aravind Srinivas, Pieter Abbeel |
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Poster
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Thu 15:00 |
Off-Policy Actor-Critic with Shared Experience Replay Simon Schmitt, Matteo Hessel, Karen Simonyan |
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Poster
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Thu 18:00 |
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich |