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For many applications of LLM agents, the environment is real (internet, database, REPL, etc). However, we can also define agents to interact in simulated environments like text-based games. This is an example of how to create a simple agent-environment interaction loop with [Gymnasium](https://github.com/Farama-Foundation/Gymnasium) (formerly [OpenAI Gym](https://github.com/openai/gym)). |
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| .. | ||
| camel_role_playing.ipynb | ||
| characters.ipynb | ||
| gymnasium.ipynb | ||
| multi_player_dnd.ipynb | ||
| multiagent_authoritarian.ipynb | ||
| multiagent_bidding.ipynb | ||
| two_player_dnd.ipynb | ||