rohanb2018

Curriculum_RL_for_Driving

Curriculum Design through Bayesian Optimization to train RL agents for the purpose of autonomous racing in the OpenAI Gym CarRacing Environment

graphite-utils

DRAGEN

Distributionally Robust Policy Learning via Adversarial Environment Generation

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

world-models

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

teaching_robots_to_draw

an attempt at implementing deep learning model proposed in paper teaching robots to draw

pybullet-gym

Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

deep_rl

PyTorch implementation of deep reinforcement learning algorithms

mtrl

Multi Task RL Baselines

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

DeepRL-Tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

ros1_bridge

ROS 2 package that provides bidirectional communication between ROS 1 and ROS 2

carla

Open-source simulator for autonomous driving research.