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Envs-FORGE: Frontier-Optimized Reward-Grounded Environment Synthesis for Agent RL

#Envs-FORGE #Frontier-Optimized #Reward-Grounded #Environment #Synthesis

arXiv:2608.14312v1 Announce Type: new Abstract: Reinforcement learning (RL) for terminal agents needs executable training environments with reliable rewards and useful difficulty. Fixed recipes such as few-shot, Self-Instruct, and Evol-Instruct apply the same prompting policy to every seed, even…