airopti,Pusen,github

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

practical_rl

A course in reinforcement learning in the wild

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-dppo

Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286

pytorch-dqn

Deep Q-Learning Network in pytorch (not actively maintained)

qwiic_tca9548a_py

Python package for the Qwiic Mux Breakout - 8 Channel (TCA9548A)

rainbow

Rainbow: Combining Improvements in Deep Reinforcement Learning

rainbow-iqn-apex

Distributed Rainbow-IQN for Atari

reinforcement-implementation

Implementation of benchmark RL algorithms

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rlpyt

Reinforcement Learning in PyTorch

robotics-rl-srl

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

rotors_simulator

RotorS is a UAV gazebo simulator

show-me-the-code

Python 练习册，每天一个小程序

slambook

sota-rl-algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..