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cs.LG2025
Robust Behavior Cloning Via Global Lipschitz Regularization
Shili Wu, Yizhao Jin, Puhua Niu +2
Behavior Cloning (BC) is an effective imitation learning technique and has even been adopted in some safety-critical domains such as autonomous vehicles. BC trains a policy to mimi…
cs.LG2023
Partial advantage estimator for proximal policy optimization
Xiulei Song, Yizhao Jin, Greg Slabaugh +1
Estimation of value in policy gradient methods is a fundamental problem. Generalized Advantage Estimation (GAE) is an exponentially-weighted estimator of an advantage function simi…
cs.LG2023★ 1 cited
Joint action loss for proximal policy optimization
Xiulei Song, Yizhao Jin, Greg Slabaugh +1
PPO (Proximal Policy Optimization) is a state-of-the-art policy gradient algorithm that has been successfully applied to complex computer games such as Dota 2 and Honor of Kings. I…