Running train.py doesn't seem to work

[suryabhupa]

After setting up the multiagent-particle-envs and adding the path to the PYTHONPATH, and after all the pip installs, running the

python train.py --scenario simple

results in:

/home/.local/lib/python3.6/site-packages/tensorflow/python/util/tf_inspect.py:45: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() or inspect.getfullargspec() if d.decorator_argspec is not None), _inspect.getargspec(target)) Using good policy maddpg and adv policy maddpg Traceback (most recent call last): File "train.py", line 195, in train(arglist) File "train.py", line 106, in train obs_n = env.reset() File "~/gym/gym/core.py", line 71, in reset raise NotImplementedError NotImplementedError

Any fixes?

[ryan-lowe]

Hi, this is related to the newest version of OpenAI gym (>=0.10), which has made some breaking changes to other code. If you downgrade your version of gym, it should work. We're looking into fixing this.

[ryan-lowe]

Should be fixed now!

[williamyuanv0]

I downgrade my version of gym to 0.10.0,but it still dose not work.

[ryan-lowe]

Hi xiaoy, The old version of the multiagent-particle-envs code works with gym 0.9.x and lower. The new version works with gym 0.10.x and higher. So with the new version of both gym and multiagent-particle-envs everything should work. If it doesn't, please raise another issue! :)

[silkyrose]

why can't I install the old version of gym? (base) E:\DPL\MA\maddpg-master\maddpg-master\experiments>pip install gym-0.9.2 ERROR: Could not find a version that satisfies the requirement gym-0.9.2 (from v ersions: none) ERROR: No matching distribution found for gym-0.9.2