A simple example of distributed actors using ray - http://rllib.io/
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Updated
May 26, 2019 - Python
A simple example of distributed actors using ray - http://rllib.io/
NIPS challenge 2018 Prosthetics playground and testing ideas
MAPO: Model-Aware Policy Optimization algorithm
ray project 中文文档
Sample setup for custom reinforcement learning environment in Sagemaker. This example uses Proximal Policy Optimization with Ray (RLlib).
Curriculum learning using rllib on gymEnv "CarRacing"
RL training for the 6DoF manipulator
My attempt to reproduce a water down version of PBT (Population based training) for MARL (Multi-agent reinforcement learning) using DDPPO (Decentralized & distributed proximal policy optimization) from ray[rllib].
A collection of Jupiter notebook containing reinforcement-learning-based solutions to various classic problems
Adaptive real-time traffic light signal control system using Deep Multi-Agent Reinforcement Learning
Training in bursts for defending against adversarial policies
Used Flow, Ray/RLlib and OpenAI Gym to simulate and train autonomous vehicles/human drivers in SUMO (Simulation of Urban Mobility)
Deep Reinforcement Project in Malmo - UCI CS175 Fall 2020
Super Mario Bros training with Ray RLlib DQN algorithm
RL environments and trained agents in CARLA using RLlib
Simple Training and Evaluation of Multi-Agent Environments with Deep Reinforcement Algorithms 🐨
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