2 papers
cs.LG2025
Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models
Vaskar Nath, Elaine Lau, Anisha Gunjal +3
We study the process through which reasoning models trained with reinforcement learning on verifiable rewards (RLVR) can learn to solve new problems. We find that RLVR drives perfo…
cs.CL2025
Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards
Jeff Da, Clinton Wang, Xiang Deng +3
Reinforcement Learning from Verifiable Rewards (RLVR) has been widely adopted as the de facto method for enhancing the reasoning capabilities of large language models and has demon…