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FiDi-RL: Incorporating Deep Reinforcement Learning with Finite-Difference Policy Search for Efficient Learning of Continuous Control
In recent years significant progress has been made in dealing with chall...
07/01/2019 ∙ by Longxiang Shi, et al. ∙
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TBQ(σ): Improving Efficiency of Trace Utilization for Off-Policy Reinforcement Learning
Off-policy reinforcement learning with eligibility traces is challenging...
05/17/2019 ∙ by Longxiang Shi, et al. ∙
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Longxiang Shi
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University of Technology Sydney
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Zhejiang University
