AgentGym

AgentGym is a benchmark that contains diverse environments used to evaluate the performance of reinforcement learning methods, particularly for black-box agents.

Papers using AgentGym (2)

Agentic Monte Carlo: Simulating Reinforcement Learning for Black-Box Agents2026PatchWorld: Gradient-Free Optimization of Executable World Models2026