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Model-Based Actor-Critic with Chance Constraint for Stochastic System
Safety constraints are essential for reinforcement learning (RL) applied...
12/19/2020 ∙ by Baiyu Peng, et al. ∙
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Ternary Policy Iteration Algorithm for Nonlinear Robust Control
The uncertainties in plant dynamics remain a challenge for nonlinear con...
07/14/2020 ∙ by Jie Li, et al. ∙
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Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic
Reinforcement learning (RL) has achieved remarkable performance in a var...
02/13/2020 ∙ by Yangang Ren, et al. ∙
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CTM: Collaborative Temporal Modeling for Action Recognition
With the rapid development of digital multimedia, video understanding ha...
02/08/2020 ∙ by Qian Liu, et al. ∙
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Addressing Value Estimation Errors in Reinforcement Learning with a State-Action Return Distribution Function
In current reinforcement learning (RL) methods, function approximation e...
01/09/2020 ∙ by Jingliang Duan, et al. ∙
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Direct and indirect reinforcement learning
Reinforcement learning (RL) algorithms have been successfully applied to...
12/23/2019 ∙ by Yang Guan, et al. ∙
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Centralized Conflict-free Cooperation for Connected and Automated Vehicles at Intersections by Proximal Policy Optimization
Connected vehicles will change the modes of future transportation manage...
12/18/2019 ∙ by Yang Guan, et al. ∙
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