17 citations · 39 across the 23 of their papers we have counts for
4 papers · 1 filter
Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning
Xingyu Lu, Kimin Lee, Pieter Abbeel +1
Despite the significant progress of deep reinforcement learning (RL) in solving sequential decision making problems, RL agents often overfit to training environments and struggle t…
Efficient Empowerment Estimation for Unsupervised Stabilization
Ruihan Zhao, Kevin Lu, Pieter Abbeel +1
Intrinsically motivated artificial agents learn advantageous behavior without externally-provided rewards. Previously, it was shown that maximizing mutual information between agent…
AvE: Assistance via Empowerment
Yuqing Du, Stas Tiomkin, Emre Kiciman +3
One difficulty in using artificial agents for human-assistive applications lies in the challenge of accurately assisting with a person's goal(s). Existing methods tend to rely on i…
Preventing Imitation Learning with Adversarial Policy Ensembles
Albert Zhan, Stas Tiomkin, Pieter Abbeel
Imitation learning can reproduce policies by observing experts, which poses a problem regarding policy privacy. Policies, such as human, or policies on deployed robots, can all be…