12 citations · 26 across the 6 of their papers we have counts for
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cs.LG2020★ 3 cited
Provably Efficient Model-based Policy Adaptation
Yuda Song, Aditi Mavalankar, Wen Sun +1
The high sample complexity of reinforcement learning challenges its use in practice. A promising approach is to quickly adapt pre-trained policies to new environments. Existing met…
cs.LG2020★ 2 cited
Goal-conditioned Batch Reinforcement Learning for Rotation Invariant Locomotion
Aditi Mavalankar
We propose a novel approach to learn goal-conditioned policies for locomotion in a batch RL setting. The batch data is collected by a policy that is not goal-conditioned. For the l…