RL Systems Mind the Gap: Matching Trainer and Generator Throughput

Understanding Reinforcement Learning for Model Training, and future directions with GRAPE

10 Open-Source Reinforcement Learning Frameworks for Training AI Agents

A practical roundup of 10 open-source reinforcement learning (RL) training frameworks for AI agents, covering tools optimized for GRPO, RLHF

Using Curriculum Learning and PufferLib to Train Superhuman AI Agents for 2048 and Tetris

The article describes using PufferLib, a reinforcement learning framework, to train gaming agents that achieve superhuman performance in 204

DeepSWE: Training a Fully Open-sourced, State-of-the-Art Coding Agent by Scaling RL

Terminal-Bench-RL Project Advances Terminal Agent Training with Reinforcement Learning

The article discusses the Terminal-Bench-RL project, which extends the rLLM framework by UC Berkeley Sky Lab to train long-horizon terminal

The Endgame – Building an Autonomous Optimization Pipeline for Apache Iceberg