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RL Environments

TODO: this note is a placeholder while I work through the material below and write it up properly.

TODO

  1. RL Environments, Unsloth
  2. “What are RLVR environments for LLMs? | Policy - Rollouts - Rubrics”, Deep Learning with Yacine
  3. “One sandbox per rollout, or how labs run RL for agents in 2026”, Sergio Paniego. Look at the suggested readings in this post.
  4. XiaomiMiMo/verl, reproduction code for five agentic RL environments.
  5. “RL environments for LLM agents: Design, rewards, and validation”, Aryan Kargwal and Jonathan Schlosser.
  6. “Environments Hub: A Community Hub To Scale RL To Open AGI”, Prime Intellect Team.
  7. MiMo RL Environment Explorer, FineEnvs.