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Workshop
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Domain Generalization for Robust Model-Based Offline RL
Alan Clark · Shoaib Siddiqui · Robert Kirk · Usman Anwar · Stephen Chung · David Krueger
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Workshop
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Evidence accumulation in deep RL agents powered by a cognitive model
James Mochizuki-Freeman · Sahaj Singh Maini · Zoran Tiganj
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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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Contrastive Value Learning: Implicit Models for Simple Offline RL
Bogdan Mazoure · Benjamin Eysenbach · Ofir Nachum · Jonathan Tompson
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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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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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Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity
Alekh Agarwal · Tong Zhang
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Poster
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Wed 14:00
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Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Benjamin Eysenbach · Alexander Khazatsky · Sergey Levine · Russ Salakhutdinov
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Poster
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Thu 14:00
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Provably Efficient Model-Free Constrained RL with Linear Function Approximation
Arnob Ghosh · Xingyu Zhou · Ness Shroff
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Poster
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Tue 9:00
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Exponential Family Model-Based Reinforcement Learning via Score Matching
Gene Li · Junbo Li · Anmol Kabra · Nati Srebro · Zhaoran Wang · Zhuoran Yang
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Poster
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Tue 14:00
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Deep Hierarchical Planning from Pixels
Danijar Hafner · Kuang-Huei Lee · Ian Fischer · Pieter Abbeel
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Workshop
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Conditioned Score-Based Models for Learning Collision-Free Trajectory Generation
Joao Carvalho · Mark Baierl · Julen Urain · Jan Peters
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