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An elegant PyTorch deep reinforcement learning library.
Created
2018-04-16
842 commits to master branch, last one 11 days ago
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Created
2018-06-09
4 commits to master branch, last one 4 years ago
Massively Parallel Deep Reinforcement Learning. 🔥
Created
2019-07-12
2,833 commits to master branch, last one about a month ago
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Created
2019-04-23
91 commits to master branch, last one about a year ago
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
Created
2021-11-14
104 commits to main branch, last one about a month ago
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Created
2017-10-02
2,569 commits to master branch, last one 2 years ago
Python library for Reinforcement Learning.
Created
2017-02-25
1,991 commits to dev branch, last one 25 days ago
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
Created
2019-04-07
995 commits to master branch, last one 3 years ago
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are st...
Created
2018-01-13
25 commits to master branch, last one 3 years ago
A PyTorch library for building deep reinforcement learning agents.
Created
2018-11-07
300 commits to develop branch, last one 9 months ago
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
Created
2021-01-16
133 commits to main branch, last one 2 years ago
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Created
2020-03-09
96 commits to master branch, last one 4 years ago
PyTorch implementation of Soft Actor-Critic (SAC)
Created
2020-01-22
27 commits to master branch, last one 3 years ago
PyTorch implementation of deep reinforcement learning algorithms
Created
2019-09-17
366 commits to main branch, last one 3 years ago
Reinforcement Learning Algorithms Based on PyTorch
Created
2019-04-25
633 commits to master branch, last one 3 years ago
DrQ: Data regularized Q
Created
2020-04-29
14 commits to master branch, last one 3 years ago
RAD: Reinforcement Learning with Augmented Data
Created
2020-04-09
23 commits to master branch, last one 3 years ago
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Created
2020-06-07
436 commits to master branch, last one 3 years ago
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Created
2020-10-02
23 commits to master branch, last one 3 years ago
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Created
2017-12-21
703 commits to master branch, last one 5 years ago
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
Created
2021-10-09
97 commits to main branch, last one about a year ago
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
Created
2020-01-22
51 commits to master branch, last one 2 years ago
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
Created
2018-12-30
392 commits to master branch, last one 10 months ago
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
Created
2020-02-20
58 commits to master branch, last one 3 years ago
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch,激光雷达Lidar避障,激光雷达仿真模拟,Adaptive-SAC
Created
2023-05-18
132 commits to master branch, last one 6 months ago
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
Created
2018-12-22
239 commits to master branch, last one 3 years ago
Deep Reinforcement Learning in C#
dqn
ppo
sac
gail
dotnet
cartpole
gail-ppo
multi-agent
deep-learning
machine-learning
multi-environment
soft-actor-critic
reinforcement-learning
deep-reinforcement-learning
proximal-policy-optimization
reinforcement-learning-agent
reinforcement-learning-algorithms
multi-agent-reinforcement-learning
reinforcement-learning-environments
Created
2023-08-15
77 commits to master branch, last one 2 months ago
🚀 A fast safe reinforcement learning library in PyTorch
Created
2023-05-07
15 commits to main branch, last one 2 months ago
PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.
Created
2021-08-23
35 commits to main branch, last one about a year ago
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
Created
2020-07-02
7 commits to master branch, last one 3 years ago