Ray RLlib tutorial material
Integration of RLLib and CARLA
C++ library for reinforcement learning
MADDPG in Ray/RLlib
Training Sonic with RLlib
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
RLlib tutorials
Python3 library able to connect the RLLIB framework with the SUMO simulator.
MineRL RLlib Benchmark
Carla-Simulator environment compatible with Ray/Rllib
Scaling RLLib for generic simulation environments on Theta
PyTorch implementation of MADDPG (Lowe et al.) in RLLib
Practical tutorial on RLlib for deep hierarchical multi-agent reinforcement learning
Using RLLib and PycoLab to explore intelligent cooperative behavior in sequential social dilemmas
An example implementation of an OpenAI Gym environment used for a Ray RLlib tutorial
Simple EnergyPlus environments for control optimization using reinforcement learning
Laser tracking agent utilising Reinforcement learning with Ray Rllib and Ray Tune