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Workshop
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Fri 6:30
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Towards Safe Model-based Reinforcement Learning
Felix Berkenkamp
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Workshop
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Symbolic-Model-Based Reinforcement Learning
Pierre-alexandre Kamienny · Sylvain Lamprier
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Workshop
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Learning to Prioritize Planning Updates in Model-based Reinforcement Learning
Brad Burega · John Martin · Michael Bowling
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Poster
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Wed 9:00
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Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning
Shenao Zhang
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Workshop
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Meta-Learning General-Purpose Learning Algorithms with Transformers
Louis Kirsch · Luke Metz · James Harrison · Jascha Sohl-Dickstein
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Workshop
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Domain Invariant Q-Learning for model-free robust continuous control under visual distractions
Tom Dupuis · Jaonary Rabarisoa · Quoc Cuong PHAM · David Filliat
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Workshop
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Learning Representations for Reinforcement Learning with Hierarchical Forward Models
Trevor McInroe · Lukas Schäfer · Stefano Albrecht
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Poster
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Tue 9:00
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Operator Splitting Value Iteration
Amin Rakhsha · Andrew Wang · Mohammad Ghavamzadeh · Amir-massoud Farahmand
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Poster
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Model-Based Opponent Modeling
XiaoPeng Yu · Jiechuan Jiang · Wanpeng Zhang · Haobin Jiang · Zongqing Lu
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Workshop
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Offline evaluation in RL: soft stability weighting to combine fitted Q-learning and model-based methods
Briton Park · Xian Wu · Bin Yu · Angela Zhou
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Poster
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Wed 9:00
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You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments
Keiran Paster · Sheila McIlraith · Jimmy Ba
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Poster
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Tue 9:00
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Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning
Guy Tennenholtz · Shie Mannor
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