multiagent-particle-envs
qlib
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| multiagent-particle-envs | qlib | |
|---|---|---|
| 6 | 53 | |
| 2,188 | 14,161 | |
| 3.6% | 4.8% | |
| 0.0 | 6.6 | |
| 19 days ago | 1 day ago | |
| Python | Python | |
| MIT License | MIT License |
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multiagent-particle-envs
- Why is Q-learning always presented in such a math-heavy fashion? I just spent an hour dissecting this formula with a student -- only to strongly suspect there is a typo. Are there any good Q-Learning tutorials out there that *explain* the math instead of dropping it from the sky?
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Ideal size of the visual observation
Hi, I am using the MPE (https://github.com/openai/multiagent-particle-envs) and I'm planning to use a visual observation. I was wondering, what size should it be? I assume that if it is too large and the agents are only a few, I am wasting lots of compute for nothing and also the noise becomes a lot. But how to find the best size? 60x60x3 for example?
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Why does MADDPG use action log prob for Q (Critic) instead of sampled action?
Code for https://arxiv.org/abs/1706.02275 found: https://github.com/openai/multiagent-particle-envs
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I get an incredibly long error simply for trying to install an older version of Numpy
git clone https://github.com/openai/multiagent-particle-envs cd multiagent-particle-envs/ python -m venv maddpg echo env/ >> .gitignore .\maddpg\Scripts\activate pip install gym==0.10.5 pip install numpy==1.14.5
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Not as impressive as the one natural simulator that I made with visual programming languages Aka the future but this is good try for someone learning programming
If you wanted to make it an RL env that others could train, it might be a nicer looking version of https://github.com/openai/multiagent-particle-envs
qlib
What are some alternatives?
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