Context-sensitive abstractions learned during training allow TD(λ) to reach higher sample efficiency than baselines across continuous-state parameterized-action domains.
4c): The task involves an agent learning to kick a ball past a keeper
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Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions
Context-sensitive abstractions learned during training allow TD(λ) to reach higher sample efficiency than baselines across continuous-state parameterized-action domains.