1 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
ADAPTER-RL: Adaptation of Any Agent using Reinforcement Learning
Yizhao Jin, Greg Slabaugh, Simon Lucas
Deep Reinforcement Learning (DRL) agents frequently face challenges in adapting to tasks outside their training distribution, including issues with over-fitting, catastrophic forge…
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…
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…