PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
-
Updated
Nov 11, 2017 - Python
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
MADRL project solving chess environment using PPO with two different methods: 2 agents/networks and a single agent/network.
Training cooperative behaviour in Ghosts to capture Pac-Man using multi-agent deep reinforcement learning
Add a description, image, and links to the madrl topic page so that developers can more easily learn about it.
To associate your repository with the madrl topic, visit your repo's landing page and select "manage topics."