69 results found Sort:

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Created 2020-05-05
845 commits to master 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 5 months ago
A curated list of awesome model based RL resources (continually updated)
Created 2021-12-28
37 commits to main branch, last one 11 days ago
NMA deep learning course
Created 2021-04-12
1,236 commits to main branch, last one about a month 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
48 commits to master branch, last one 9 months 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
874 commits to master branch, last one 2 months ago
239
593
other
47
Guided Policy Search
Created 2016-02-23
376 commits to master branch, last one 6 years ago
A curated list of Decision Transformer resources (continually updated)
Created 2022-08-01
17 commits to main branch, last one 22 days ago
47
582
apache-2.0
12
Really Fast End-to-End Jax RL Implementations
Created 2023-02-25
30 commits to main branch, last one 3 months ago
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Created 2020-09-20
143 commits to master branch, last one 2 months ago
《Reinforcement Learning: An Introduction》(第二版)中文翻译
Created 2019-02-21
241 commits to master branch, last one 2 years ago
59
403
mit
14
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
Framework for Multi-Agent Deep Reinforcement Learning in Poker
Created 2019-02-06
14 commits to master branch, last one 3 years ago
39
378
apache-2.0
5
🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation
Created 2022-06-08
1,156 commits to main branch, last one 10 days ago
70
377
unknown
5
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 4 months 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
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 4 months ago
A curated list of awesome exploration RL resources (continually updated)
Created 2022-08-06
31 commits to main branch, last one about a month 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
NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
Created 2022-06-05
228 commits to main branch, last one 2 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
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
94
262
apache-2.0
18
A simple framework for experimenting with Reinforcement Learning in Python.
Created 2016-07-11
509 commits to master branch, last one 3 months ago
Reinforcement learning theory book about foundations of deep RL algorithms with proofs.
Created 2020-10-11
70 commits to main branch, last one 5 months ago