Topic · 13stories
Reinforcement Learning
Post-training and reinforcement-learning methods aimed at agents: RLVR (reinforcement learning from verifiable rewards), skill generation and curation, task routing across frozen expert models, and closed-loop training pipelines. Mostly research summaries drawn from the arxiv wave.
Featured
Research · Jun 19 · 6 min
CUA-Gym Generates 32K Verified RLVR Tuples for Computer-Use Agents
Tutorial · Jun 15 · 12 min
Eval Harness for a CrewAI Agent Using Braintrust and Verifiable Rewards
Research · Jun 6 · 6 min
RL Framework Targets Fairness Under Selective Labels
Tutorial · Jun 2 · 13 min
Early-Stopped Agent Rollouts with vLLM and LangGraph
Research · May 31 · 6 min
Memory-R2 and MEMDRIFT Target Agent Memory Failures
Research · May 29 · 8 min
Five arxiv Papers Advance RLVR Post-Training for LLMs
Research · May 29 · 5 min
Maestro RL Framework Routes Tasks Across Frozen Expert Models
Research · May 27 · 5 min
Curiosity Agent Pairs 3D Reconstruction With Sequence Memory
Research · May 24 · 5 min
Skill-R1 Trains a Skill Generator to Guide Frozen LLMs
Research · May 14 · 6 min
RAO Trains Agents to Delegate Sub-Tasks to Themselves
Research · May 14 · 5 min
Safactory Offers Closed-Loop Pipeline for Agent Training
Research · May 14 · 6 min
SkillOS Trains LLM Agents to Curate Reusable Skills
[research · screenshot]
Research · May 11 · 11 min