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41 search results found
Tianshou
⭐
7,125
An elegant PyTorch deep reinforcement learning library.
Elegantrl
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3,229
Massively Parallel Deep Reinforcement Learning. 🔥
Deep Reinforcement Learning With Pytorch
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2,741
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Minimalrl
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2,417
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Slm Lab
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1,052
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
Mushroom Rl
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765
Python library for Reinforcement Learning.
Autonomous Learning Library
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616
A PyTorch library for building deep reinforcement learning agents.
Reinforcement Learning Algorithms
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407
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 still in progress)
Deep_rl
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372
PyTorch implementations of deep reinforcement learning algorithms
Drq
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369
DrQ: Data regularized Q
Lagom
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365
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Rls
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330
Reinforcement Learning Algorithms Based on PyTorch
Rlcycle
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242
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
Pytorch_sac
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232
PyTorch implementation of Soft Actor-Critic (SAC)
Pomdp Baselines
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224
Simple (but often Strong) Baselines for POMDPs in PyTorch (ICML 2022)
Machin
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206
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Torchrl
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127
Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
Fsrl
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121
🚀 A fast safe reinforcement learning library in PyTorch
Soft Actor Critic And Extensions
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87
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
Mujoco Benchmark
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78
Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library
Cql
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72
PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.
Rl_bootcamp
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41
Repository for slides & codes of RL Korea Bootcamp
Proto
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34
Proto-RL: Reinforcement Learning with Prototypical Representations
Rainy
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28
☔ Deep RL agents with PyTorch☔
Reinforcement_learning_with_pytorch
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27
Implement some algorithms of RL
Rl Pytorch
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20
A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
Super_sac
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18
A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data augmentation, offline learning and behavioral cloning.
Meta Sac
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18
Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
Mlagents
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13
This repository contains the implementation of deep reinforcement learning algorithms to solve various unity The Environments.
Lwdrlc
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13
Lightweight deep RL Libraray for continuous control.
Mujoco Pytorch
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12
PPO, DDPG, SAC implementation on mujoco environment
Rlcodebase
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12
RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms
Policy_based_rl
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10
The implement of the policy gradient RL algorithm with pytorch
Rl Basics
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8
Simple single file implementation of Deep Reinforcement Learning algorithms
Digideep
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8
A Deep Reinforcement Learning (DeepRL) package for RL algorithm developers.
Deep Reinforcement Learning With Pytorch
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8
Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
Actorch
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8
Deep reinforcement learning framework for fast prototyping based on PyTorch
Synapse Rl
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6
PyTorch framework for reinforcement learning
Reinforcement Learning Visualization
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5
2D and 3D visualization tools for a RL model's learning space. Sorbonne University, Paris, MSc Computer Science, 1st year research project.
Smart Calibration
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5
Deep reinforcement learning for smart calibration of radio telescopes. Automatic hyper-parameter tuning.
Sac Td3 Td7
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5
pytorch implementation of SAC, TD3 and TD7 with Mujoco Benchmark results from 4 seeds.
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