Wenjie Shi | DeepAI

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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...

0 Qisen Yang, et al. ∙

∙ 12/06/2021

Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement Learning

Deep reinforcement learning (RL) agents are becoming increasingly profic...

0 Wenjie Shi, et al. ∙

∙ 03/16/2020

Self-Supervised Discovering of Causal Features: Towards Interpretable Reinforcement Learning

Deep reinforcement learning (RL) has recently led to many breakthroughs ...

0 Wenjie Shi, et al. ∙

∙ 09/07/2019

Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning

Model-free deep reinforcement learning (RL) algorithms have been widely ...

0 Wenjie Shi, et al. ∙

∙ 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...

0 Wenjie Shi, et al. ∙

∙ 09/07/2019

Soft Policy Gradient Method for Maximum Entropy Deep Reinforcement Learning

Maximum entropy deep reinforcement learning (RL) methods have been demon...

0 Wenjie Shi, et al. ∙

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