multiagent-competition
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openai
Code for the paper "Emergent Complexity via Multi-agent Competition"
Resolves Issue #14 Version numbers for the required packages in `requirements.txt` are specified, without which incompatible version of packages - `gym(0.15.3)`, `tensorflow(2.0.0)` gets installed and throws up error while execution....
Please give support for Mujoco 1.5 version since the new MacBook do not support 1.3 version
It looked like everything installed correctly. I ran the example script for starting the quadrant env and I get that there's no baseline. Any ideas? $ bin/examine.py examples/hide_and_seek_quadrant.jsonnet examples/hide_and_seek_quadrant.npz Inferred:...
### Description The version number of the various dependencies required for this project isn't specified. So, when one installs directly from requirements.txt using pip, then a non-compatible version of packages...
Changing `requirements.txt` to include `gym==0.7.4` instead of just `gym` fixes issues that are breaking this codebase. `gym` is currently moving to MuJoCo 150 and introduced breaking changes specifically calling the...
ｗｈｅｎ i run the code in self.env_scene = MultiAgentScene(self._env_xml_path, self.n_agents) This error occurred raise NotImplementedError
Since the repository is archived, would it be possible to add a licence (e.g. MIT or Apache-2) so people can reuse parts of the code? Thanks!
After setting force (3x1) and torque (3x1) as well as point (3x1), I was able to calculate qfrc_applied through functions.mj_applyFT, which is of dimension (nvx1). Any hint on how to...
