LlamaGym
Overview
A research library for training LLM agents with reinforcement learning in Gym-style environments.
Best For Professions:
LlamaGym supplies an Agent class that manages conversation context, rewards, episode batches and PPO training around an LLM. Researchers implement the system prompt, observation formatting and action extraction, then supply a model, tokenizer and environment.
Its Blackjack example demonstrates the training loop; the library does not supply a general business agent or a ready-made environment. Training still requires reward design, hyperparameter choices, compute and evaluation. The maintainers describe it as a small work-in-progress research project.
Product overview
Capabilities, pricing and fit
A research library for training LLM agents with reinforcement learning in Gym-style environments.
Information as of October 14, 2026
Where it fits best
Sources (1)
- github.com — Product and availabilityOfficial site · checked 2026-10-14
Autonomy level
55/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
Some of the use cases of LlamaGym:
- Experimenting with online reinforcement learning
- Studying LLM action selection in simulated environments
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Popularity level: 65%
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