DACOOP-A: Decentralized Adaptive Cooperative Pursuit via Attention

PathNet: Path-Selective Point Cloud Denoising

Online IC parameter adjustment of an active knee prosthesis using Reinforcement Learning with frequency-domain state representations

Reinforcement Learning Based Real-time Railway Timetable Scheduling

Adaptive Control for Spacecraft Rendezvous: A reinforcement meta-learning approach

Is human-in-the-loop reinforcement learning enhanced if the robot emotes its learning progress?: An experimental study

Optimised State-Dependent Sampling Control for Heavy-Haul Trains

Spiking Neural-Networks-Based Data-Driven Control

Reinforcement Learning from Simulation to Real World Autonomous Driving using Digital Twin

A Deep Reinforcement Learning Approach to Configuration Sampling Problem

Scalable and Decentralized Algorithms for Anomaly Detection via Learning-Based Controlled Sensing

Adaptive Parameterized Control for Coordinated traffic Management Using Reinforcement Learning

Generalized Models of Sequential Decision-Making under Uncertainty

Applications of Quantum Computation and Algorithmic Information: for Causal Modeling in Genomics and Reinforcement Learning

Training a Negotiating Agent through Self-Play

Evolving-to-Learn with Spiking Neural Networks

Secondary Frequency Control of Microgrids: An Online Reinforcement Learning Approach

基于强化学习补偿的地面无人战车行进间跟瞄自适应控制

Flowsheet generation through hierarchical reinforcement learning and graph neural networks

Online Optimization of Gear Shift and Velocity for Eco-Driving using Adaptive Dynamic Programming