Comments (1)
pythlang
commented on September 3, 2024
Hello, everyone! If you are interested in developing your own projects with the multi-agent-emergence-environments by OpenAI but is having a hard time wrapping your head around the existing code (like I did myself for at least a couple of weeks!), please feel free to take a look at a project I developed at ETH Zürich using multi-agent-emergence-environments. It is called "Cooperation Learning for multi-agent systems", and you can find its repository at https://github.com/leonardovvla/multi-agent-cooperation-learning. Hope it can be helpful to at least some of you! All the best!
There are missing dependencies like spinup.utils.test_policy_ppo as well as MKSB when using MKSB.make_env('MKSB') which make your project unusable.
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Related Issues (20)
- ModuleNotFoundError: No module named 'gym.spaces.dict_space' HOT 2
- Jsonnet error when unrolling policy HOT 2
- How to training agents HOT 2
- Observation parameters
- How to determine successful installation？
- sorry, Delete this issue,please
- It stopped in "Successfully opened dynamic library libcuda.so.1" HOT 1
- A
- Selling Out To Microsoft!!! MAJOR ISSUE...
- an ERROR was found!!
- How to run this project ?
- Where is the Leaderboard on this Env? Which is the SOTA algorithm?
- How do i solve this error ? No module named 'mae_envs' HOT 1
- Is there any memory requirement of running this project?
- [Suggestion] Switch to a free physics engine HOT 3
- gym.error.DoubleWrapperError: Attempted to double wrap with Wrapper: AgentGeomObsMask2D HOT 2
- Error when running the four environment files of multi-agent-emergence-environments
- Error when loading pre-trained policy HOT 1
- Can anyone reproduce the hide-and-seek training code for this environment? HOT 1
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