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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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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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Learning Representations for Reinforcement Learning with Hierarchical Forward Models
Trevor McInroe · Lukas Schäfer · Stefano Albrecht
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Workshop
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Symbolic-Model-Based Reinforcement Learning
Pierre-alexandre Kamienny · Sylvain Lamprier
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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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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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Workshop
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Lagrangian Model Based Reinforcement Learning
Adithya Ramesh · Balaraman Ravindran
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Poster
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Thu 9:00
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Towards Safe Reinforcement Learning with a Safety Editor Policy
Haonan Yu · Wei Xu · Haichao Zhang
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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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Wed 9:00
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Model-based Lifelong Reinforcement Learning with Bayesian Exploration
Haotian Fu · Shangqun Yu · Michael Littman · George Konidaris
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