Constrained Reinforcement Learning Algorithm

Constrained reinforcement learning (CRL) focuses on training agents to maximize rewards while adhering to specified constraints, addressing limitations of traditional reinforcement learning in safety-critical applications. Current research emphasizes developing efficient algorithms, such as those incorporating Lagrangian relaxation or reduced gradient methods, to handle both equality and inequality constraints in continuous action spaces and across diverse problem settings, including robotics and recommendation systems. These advancements are crucial for deploying reinforcement learning in real-world scenarios where safety and performance guarantees are paramount, improving the reliability and applicability of AI systems.

Papers

October 14, 2023

Reduced Policy Optimization for Continuous Control with Hard Constraints
Shutong Ding, Jingya Wang, Yali Du, Ye Shi
Reinforcement Learning Policy Gradient Policy OpTimization Continuous Control Constrained Reinforcement Learning Hard Constraint Constrained Reinforcement Learning Algorithm

September 27, 2023

Evaluation of Constrained Reinforcement Learning Algorithms for Legged Locomotion
Joonho Lee, Lukas Schroth, Victor Klemm, Marko Bjelonic, Alexander Reske, Marco Hutter
Deep Reinforcement Learning Global Evaluation Constrained Reinforcement Learning Legged Locomotion Constrained Policy Optimization Standard Reinforcement Learning Constrained Reinforcement Learning Algorithm

May 23, 2023

Constrained Reinforcement Learning for Dynamic Material Handling
Chengpeng Hu, Ziming Wang, Jialin Liu, Junyi Wen, Bifei Mao, Xin Yao
Constrained Reinforcement Learning Constrained Markov Decision Process Constrained Reinforcement Learning Algorithm

February 3, 2023

Two-Stage Constrained Actor-Critic for Short Video Recommendation
Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai
Reinforcement Learning Recommender System Multi Stage Actor Critic Constrained Reinforcement Learning Algorithm

December 28, 2022

Lexicographic Multi-Objective Reinforcement Learning
Joar Skalse, Lewis Hammond, Charlie Griffin, Alessandro Abate
Reinforcement Learning Policy Gradient Multi Objective Multi Objective Reinforcement Learning Reward Signal Constrained Reinforcement Learning Algorithm

January 20, 2022

Recursive Constraints to Prevent Instability in Constrained Reinforcement Learning
Jaeyoung Lee, Sean Sedwards, Krzysztof Czarnecki
Markov Decision Process Constrained Reinforcement Learning Deterministic Policy Logical Constraint Stable Learning Probabilistic Constraint Constrained Reinforcement Learning Algorithm