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09/04/2023
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning
The black-box nature of deep reinforcement learning (RL) hinders them fr...
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12/06/2021
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning
Deep reinforcement learning (RL) agents are becoming increasingly profic...
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03/16/2020
Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning
Deep reinforcement learning (RL) has recently led to many breakthroughs ...
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09/07/2019
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning
Model-free deep reinforcement learning (RL) algorithms have been widely ...
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09/07/2019
Multi Pseudo Q-learning Based Deterministic Policy Gradient for Tracking Control of Autonomous Underwater Vehicles
This paper investigates trajectory tracking problem for a class of under...
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09/07/2019
