This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.
Thank you for you sharing. I tried to run your SQDDPG program. I installed all packages as you recommended. But I cannot run it successfully. Python reported that aux has many syntax errors. I read aux files and found it used syntax of python2. So I wonder how to use aux with python 3.5.4. Thank you.
Hi,
Thank you for you sharing. I tried to run your SQDDPG program. I installed all packages as you recommended. But I cannot run it successfully. Python reported that aux has many syntax errors. I read aux files and found it used syntax of python2. So I wonder how to use aux with python 3.5.4. Thank you.