NeMo Gym
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Supports evaluation and RL training: its environments collect trajectories and compute rewards, while a separate training framework updates model weights.
Rollout-side infrastructure that orchestrates rollouts and exposes each RL environment as pluggable Resources (verifiers, tools, sandboxes, reward models) behind a uniform interface, used for the agentic RL stages.
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