ReplicHAI › Agent Evals › 09 Training environments & gyms
| Year ↓ | Title added | Authors | Venue | |
|---|---|---|---|---|
| 2025 | Environments Hub | Intellect | ||
| 2025 | Harbor: framework for agent evals and RL environments | Institute | ||
| 2025 | R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE Agents | Jain et al. | arXiv | |
| 2025 | REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards | Stojanovski et al. | arXiv | |
| 2025 | SWE-smith: Scaling Data for Software Engineering Agents | Yang et al. | arXiv | |
| 2025 | The BrowserGym Ecosystem for Web Agent Research | Chezelles et al. | arXiv | |
| 2025 | Training Software Engineering Agents and Verifiers with SWE-Gym | Pan et al. | arXiv | |
| 2024 | AgentGym: Evolving Large Language Model-based Agents across Diverse Environments | Xi et al. | arXiv | |
| 2016 | OpenAI Gym | Brockman et al. | arXiv |
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