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Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
Using a high Update-To-Data (UTD) ratio, model-based methods have recent...
01/15/2021 ∙ by Xinyue Chen, et al. ∙
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On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning
A simple and natural algorithm for reinforcement learning is Monte Carlo...
02/10/2020 ∙ by Che Wang, et al. ∙
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BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning
The field of Deep Reinforcement Learning (DRL) has recently seen a surge...
10/27/2019 ∙ by Xinyue Chen, et al. ∙
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Towards Simplicity in Deep Reinforcement Learning: Streamlined Off-Policy Learning
The field of Deep Reinforcement Learning (DRL) has recently seen a surge...
10/05/2019 ∙ by Che Wang, et al. ∙
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Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past
Soft Actor-Critic (SAC) is an off-policy actor-critic deep reinforcement...
06/10/2019 ∙ by Che Wang, et al. ∙
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