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PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Created
2020-05-05
865 commits to master branch, last one 2 days ago
Repo for the Deep Reinforcement Learning Nanodegree program
Created
2018-07-06
24 commits to master branch, last one 2 years ago
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
drl
r2d2
smac
atari
impala
mujoco
python
minigrid
self-play
offline-rl
pytorch-rl
distributed-system
imitation-learning
reinforcement-learning
exploration-exploitation
inverse-reinforcement-learning
multiagent-reinforcement-learning
reinforcement-learning-algorithms
distributed-reinforcement-learning
model-based-reinforcement-learning
Created
2021-07-04
821 commits to main branch, last one 16 days ago
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Created
2018-09-27
98 commits to master branch, last one 11 months ago
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
robot
openai
python3
pybullet
robotics
quadruped
spotmicro
openai-gym
tensorflow
robotic-arm
legged-robots
gym-environment
quadruped-robot
machine-learning
inverse-kinematics
quadruped-robot-gaits
reinforcement-learning
artificial-intelligence
openai-gym-environments
reinforcement-learning-algorithms
Created
2019-10-27
59 commits to master branch, last one 3 years ago
A curated list of awesome model based RL resources (continually updated)
Created
2021-12-28
43 commits to main branch, last one 9 days ago
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.
Created
2020-09-04
49 commits to master branch, last one about a month ago
NMA deep learning course
Created
2021-04-12
1,295 commits to main branch, last one 6 days ago
Really Fast End-to-End Jax RL Implementations
Created
2023-02-25
35 commits to main branch, last one 2 months ago
A curated list of Decision Transformer resources (continually updated)
Created
2022-08-01
23 commits to main branch, last one 16 days ago
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
Created
2015-06-23
887 commits to master branch, last one about a month ago
A PyTorch library for building deep reinforcement learning agents.
Created
2018-11-07
300 commits to develop branch, last one 8 months ago
A curated list of Monte Carlo tree search papers with implementations.
Created
2019-11-22
112 commits to master branch, last one 8 months ago
Guided Policy Search
Created
2016-02-23
376 commits to master branch, last one 7 years ago
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Created
2020-09-20
153 commits to master branch, last one 2 days ago
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
robot
xsens
humanoid
isaac-gym
isaac-lab
isaac-sim
optitrack
robot-control
manipulability
robot-learning
robot-planning
humanoid-robots
robot-large-model
forward-kinematics
imitation-learning
inverse-kinematics
robot-manipulation
planning-algorithms
learning-from-demonstration
reinforcement-learning-algorithms
Created
2022-06-08
1,319 commits to main branch, last one 5 days ago
《Reinforcement Learning: An Introduction》(第二版)中文翻译
Created
2019-02-21
241 commits to master branch, last one 3 years ago
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Created
2021-05-02
10 commits to main branch, last one 10 months ago
This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.
Created
2021-05-27
9 commits to master branch, last one 10 months ago
Framework for Multi-Agent Deep Reinforcement Learning in Poker
Created
2019-02-06
14 commits to master branch, last one 4 years ago
Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
Created
2018-04-26
196 commits to master branch, last one 3 years ago
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
Created
2020-03-26
813 commits to master branch, last one 3 years ago
A curated list of awesome exploration RL resources (continually updated)
Created
2022-08-06
36 commits to main branch, last one about a month ago
NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
Created
2022-06-05
228 commits to main branch, last one 8 months ago
GitHub's code repository is all you need
Created
2022-04-12
66 commits to main branch, last one about a year ago
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Created
2019-07-30
24 commits to master branch, last one 3 years ago
xingtian is a componentized library for the development and verification of reinforcement learning algorithms
Created
2020-08-15
93 commits to master branch, last one 2 years ago
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Created
2019-06-03
38 commits to master branch, last one 2 years ago
DI-engine docs (Chinese and English)
Created
2021-07-09
331 commits to main branch, last one 15 days ago
Reinforcement learning theory book about foundations of deep RL algorithms with proofs.
Created
2020-10-11
70 commits to main branch, last one 11 months ago