IEEE

SA-MARL: Novel Self-Attention-Based Multi-Agent Reinforcement Learning With Stochastic Gradient Descent

Abstract: In the rapidly advancing Reinforcement Learning (RL) field, Multi-Agent Reinforcement Learning (MARL) has emerged as a key player in solving complex real-world challenges. A pivotal ...
IEEE

Deep Reinforcement Learning-Driven Dynamic Spectrum Access in Dense Wi-Fi Environments

Abstract: The rapid growth of wireless devices and bandwidth-intensive applications in urban environments has exacerbated spectrum congestion in Wi-Fi networks, resulting in performance degradation in ...
GitHub

DSRL for π₀: Diffusion Steering via Reinforcement Learning

This repository provides the official implementation for our paper: Steering Your Diffusion Policy with Latent Space Reinforcement Learning (CoRL 2025). Specifically, it contains a JAX-based ...
GitHub

Joint Transmit Beamforming and Phase Shifts Design with Deep Reinforcement Learning

PyTorch implementation of the paper Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement Learning. The paper solves a Reconfigurable Intelligent Surface ...