331 citations · 775 across the 25 of their papers we have counts for
6 papers · 1 filter
Model-Based Actor-Critic with Chance Constraint for Stochastic System
Baiyu Peng, Yao Mu, Yang Guan +3
Safety is essential for reinforcement learning (RL) applied in real-world situations. Chance constraints are suitable to represent the safety requirements in stochastic systems. Pr…
Ternary Policy Iteration Algorithm for Nonlinear Robust Control
Jie Li, Shengbo Eben Li, Yang Guan +3
The uncertainties in plant dynamics remain a challenge for nonlinear control problems. This paper develops a ternary policy iteration (TPI) algorithm for solving nonlinear robust c…
CTM: Collaborative Temporal Modeling for Action Recognition
Qian Liu, Tao Wang, Jie Liu +3
With the rapid development of digital multimedia, video understanding has become an important field. For action recognition, temporal dimension plays an important role, and this is…
Improving Generalization of Reinforcement Learning with Minimax Distributional Soft Actor-Critic
Yangang Ren, Jingliang Duan, Shengbo Eben Li +2
Reinforcement learning (RL) has achieved remarkable performance in numerous sequential decision making and control tasks. However, a common problem is that learned nearly optimal p…
Hierarchical Reinforcement Learning for Self-Driving Decision-Making without Reliance on Labeled Driving Data
Jingliang Duan, Shengbo Eben Li, Yang Guan +2
Decision making for self-driving cars is usually tackled by manually encoding rules from drivers' behaviors or imitating drivers' manipulation using supervised learning techniques.…
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors
Jingliang Duan, Yang Guan, Shengbo Eben Li +2
In reinforcement learning (RL), function approximation errors are known to easily lead to the Q-value overestimations, thus greatly reducing policy performance. This paper presents…