6 citations · 15 across the 12 of their papers we have counts for
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cs.LG2021★ 6 cited
Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming
Duo Xu, Faramarz Fekri
Recently deep reinforcement learning has achieved tremendous success in wide ranges of applications. However, it notoriously lacks data-efficiency and interpretability. Data-effici…
cs.LG2021
Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method
Duo Xu, Faramarz Fekri
The actor-critic RL is widely used in various robotic control tasks. By viewing the actor-critic RL from the perspective of variational inference (VI), the policy network is traine…