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Offline Reinforcement Learning
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Offline Reinforcement Learning
Using Confounded Data in Offline RL
In this work we consider the problem of confounding in offline RL, also referred to as the delusion problem. While it is known that …
Maxime Gasse
,
Damien Grasset
,
Guillaume Gaudron
,
Pierre-Yves Oudeyer
Workshop at the Neural Information Processing Systems (NeurIPS), 2022.
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A Probabilistic Perspective on Reinforcement Learning via Supervised Learning
Reinforcement Learning via Supervised Learning (RvS) only uses supervised techniques to learn desirable behaviors from large datasets. …
Alexandre Piche
,
Rafael Pardinas
,
David Vazquez
,
Christopher Pal
Workshop at the International Conference on Learning Representations (ICLR), 2022.
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