The Manila Times

DexTrader.ai Launches First ML-Powered Platform Combining Sophisticated DEX Trading Engine with Tokenized Real-World Assets

DexTrader.ai pairs boosted tree models & deep reinforcement learning across 80+ criteria with diversified real-world asset exposure ...
GitHub

Hetero RL: Heterogeneous Reinforcement Learning

HeteroRL is a novel heterogeneous reinforcement learning framework designed for stable and scalable training of large language models (LLMs) in geographically distributed, resource-heterogeneous ...
IEEE

Nash–Minmax Strategies for Multiagent Pursuit–Evasion Games With Reinforcement Learning

Abstract: This article investigates the pursuit-evasion games for target capture in multiagent systems. To address this challenge, a novel data-driven optimal control policy is proposed, leveraging ...
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 ...
IEEE

Optimal Group Consensus of Multiagent Systems in Graphical Games Using Reinforcement Learning

Abstract: This article investigates the optimal group consensus problem (GCP) in multiagent systems (MASs). To address this problem, a novel distributed optimal control policy is designed in the ...