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langchain/docs/use_cases/agent_simulations
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mbchang 4eefea0fe8 new example: single agent, simulated environment (openai gym) (#3758) 
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)).
2023-04-28 19:52:05 -07:00
..
camel_role_playing.ipynb
Agents 4 18 (#3122)
2023-04-18 21:41:03 -07:00
characters.ipynb
Move Generative Agent definition to Experimental (#3245)
2023-04-23 18:32:37 -07:00
gymnasium.ipynb
new example: single agent, simulated environment (openai gym) (#3758)
2023-04-28 19:52:05 -07:00
multi_player_dnd.ipynb
Harrison/vespa (#3761)
2023-04-28 19:48:43 -07:00
multiagent_authoritarian.ipynb
Harrison/vespa (#3761)
2023-04-28 19:48:43 -07:00
multiagent_bidding.ipynb
new example: multiagent dialogue with decentralized speaker selection (#3629)
2023-04-26 21:37:36 -07:00
two_player_dnd.ipynb
Harrison/vespa (#3761)
2023-04-28 19:48:43 -07:00