40 citations · 42 across the 6 of their papers we have counts for
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cs.LG2023
Go Beyond Imagination: Maximizing Episodic Reachability with World Models
Yao Fu, Run Peng, Honglak Lee
Efficient exploration is a challenging topic in reinforcement learning, especially for sparse reward tasks. To deal with the reward sparsity, people commonly apply intrinsic reward…
cs.LG2020★ 40 cited
Model-Augmented Actor-Critic: Backpropagating through Paths
Ignasi Clavera, Violet Fu, Pieter Abbeel
Current model-based reinforcement learning approaches use the model simply as a learned black-box simulator to augment the data for policy optimization or value function learning.…