8 citations · 22 across the 12 of their papers we have counts for
3 papers · 1 filter
Blending Imitation and Reinforcement Learning for Robust Policy Improvement
Xuefeng Liu, Takuma Yoneda, Rick L. Stevens +2
While reinforcement learning (RL) has shown promising performance, its sample complexity continues to be a substantial hurdle, restricting its broader application across a variety…
Active Policy Improvement from Multiple Black-box Oracles
Xuefeng Liu, Takuma Yoneda, Chaoqi Wang +2
Reinforcement learning (RL) has made significant strides in various complex domains. However, identifying an effective policy via RL often necessitates extensive exploration. Imita…
Invariance Through Latent Alignment
Takuma Yoneda, Ge Yang, Matthew R. Walter +1
A robot's deployment environment often involves perceptual changes that differ from what it has experienced during training. Standard practices such as data augmentation attempt to…