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Author	SHA1	Message	Date
mbchang	ffc87233a1	refactor GymnasiumAgent (#3927 ) refactor GymnasiumAgent (for single-agent environments) to be extensible to PettingZooAgent (multi-agent environments)	2023-05-01 20:25:03 -07:00
mbchang	3e1cb31f63	fix: add import for gymnasium (#3899 )	2023-05-01 10:37:25 -07:00
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

Author

SHA1

Message

Date

mbchang

ffc87233a1

refactor GymnasiumAgent (#3927 )

refactor GymnasiumAgent (for single-agent environments) to be extensible
to PettingZooAgent (multi-agent environments)

2023-05-01 20:25:03 -07:00

mbchang

3e1cb31f63

fix: add import for gymnasium (#3899 )

2023-05-01 10:37:25 -07:00

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

3 Commits