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What can I do here? A Theory of Affordances in Reinforcement Learning
Khimya Khetarpal
,
Zafarali Ahmed
,
Gheorghe Comanici
,
David Abel
,
Doina Precup
2020 (modified: 17 Apr 2023)
ICML 2020
Readers:
Everyone
Abstract:
Reinforcement learning algorithms usually assume that all actions are always available to an agent. However, both people and animals understand the general link between the features of their enviro...
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