HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning

[PDF] arxiv.org

BlendRL: A Framework for Merging Symbolic and Neural Policy Learning

H Shindo, Q Delfosse, DS Dhami, K Kersting - arXiv preprint arXiv …, 2024 - arxiv.org
Humans can leverage both symbolic reasoning and intuitive reactions. In contrast,
reinforcement learning policies are typically encoded in either opaque systems like neural …
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[PDF] arxiv.org

EXPIL: Explanatory Predicate Invention for Learning in Games

J Sha, H Shindo, Q Delfosse, K Kersting… - arXiv preprint arXiv …, 2024 - arxiv.org
Reinforcement learning (RL) has proven to be a powerful tool for training agents that excel
in various games. However, the black-box nature of neural network models often hinders our …
相关文章 所有 2 个版本