How robots learn through trial, error, and feedback.
Catalog of curated works that capture how robots improve by trying actions, observing what happens, and adjusting their behavior. We follow the field from simulation and reward design to real-world learning.
last updated on Sep 19, 2026
RoboPapers: Reinforcement Learning
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Ep#35: Reinforcement Learning with Action Chunking