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ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings
Recurrent MADDPG for Partially Observable and Limited Communication Settings
Code for this paper
Presented at ICML 2019 RL for Real Life Workshop
Known dependencies
Before starting, please make sure you've satisifed the following reqs:
baselines
Please also:
cd maddpg && pip3 install -e . && cd ..
cd multiagent-particle-envs && pip3 install -e .
Try it out
In order to run the algorithm you'll need to be in the rmaddpg/maddpg/experiments
directory. In this directory, there is a train.py
file which will allow you, among other things, try out the recurrent critic, recurrent actor, or both the recurrent actor-critic (R-MADDPG) model.
cd maddpg/experiments
python3 train.py --scenario simple_ --seed 1 --critic-lstm --actor-lstm