Computer Science | Reinforcement Learning Approximate Policy Iteration With Deep Minimax Average Bellman Error Minimization. January 9, 2024
Artificial Intelligence | Computer Science | Reinforcement Learning A Policy Gradient Algorithm to Alleviate the Multi-Agent Value Overestimation Problem in Complex Environments. December 9, 2023
Control Engineering | Multi-agent Systems | Reinforcement Learning An off-policy multi-agent stochastic policy gradient algorithm for cooperative continuous control. December 6, 2023
Environmental Engineering | Reinforcement Learning | Urban Drainage Systems Improving the interpretability of deep reinforcement learning in urban drainage system operation. December 2, 2023
Deep Learning | Recommender Systems | Reinforcement Learning Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based Recommendation. November 16, 2023
Reinforcement Learning Relative Entropy Regularized Sample-Efficient Reinforcement Learning With Continuous Actions. November 9, 2023
Artificial Intelligence | Reinforcement Learning | Robotics A Path-Planning Method Based on Improved Soft Actor-Critic Algorithm for Mobile Robots. October 27, 2023
Computational Intelligence | IoT | Reinforcement Learning IoT-Based Reinforcement Learning Using Probabilistic Model for Determining Extensive Exploration through Computational Intelligence for Next-Generation Techniques. October 19, 2023
Artificial Intelligence | Finance | Reinforcement Learning Asynchronous Deep Double Dueling Q-learning for trading-signal execution in limit order book markets. October 11, 2023
Control Automation | Reinforcement Learning Dynamic sparse coding-based value estimation network for deep reinforcement learning. September 27, 2023
Multi-agent Systems | Reinforcement Learning Sample-efficient multi-agent reinforcement learning with masked reconstruction. September 14, 2023
Artificial Intelligence | Reinforcement Learning Transformer Decoder-Based Enhanced Exploration Method to Alleviate Initial Exploration Problems in Reinforcement Learning. September 9, 2023