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cs.RO2025
Risk-Aware Reinforcement Learning with Bandit-Based Adaptation for Quadrupedal Locomotion
Yuanhong Zeng, Anushri Dixit
In this work, we study risk-aware reinforcement learning for quadrupedal locomotion. Our approach trains a family of risk-conditioned policies using a Conditional Value-at-Risk (CV…
cs.RO2025
Reliable and Scalable Robot Policy Evaluation with Imperfect Simulators
Apurva Badithela, David Snyder, Lihan Zha +4
Rapid progress in imitation learning, foundation models, and large-scale datasets has led to robot manipulation policies that generalize to a wide-range of tasks and environments.…