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Search results for reinforcement learning ppo
ppo
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reinforcement-learning
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165 search results found
Reinforcement Learning With Tensorflow
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8,174
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Easy Rl
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7,643
强化学习中文教程(蘑菇书),在线阅读地址:https://datawhalechina.github
Deep Reinforcement Learning
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4,635
Repo for the Deep Reinforcement Learning Nanodegree program
Reinforcement Learning
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4,090
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Cleanrl
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3,947
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Pytorch A2c Ppo Acktr Gail
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3,450
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).
Elegantrl
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3,229
Massively Parallel Deep Reinforcement Learning. 🔥
Football
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3,177
Check out the new game server:
Minimalrl
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2,417
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Rl Baselines3 Zoo
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1,640
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Ppo Pytorch
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1,270
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
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".
Rl Baselines Zoo
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1,025
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Batch Ppo
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919
Efficient Batched Reinforcement Learning in TensorFlow
Pytorch A3c
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768
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
Deeprl Tutorials
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726
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Super Mario Bros Ppo Pytorch
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692
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Pytorch Rl
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638
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Autonomous Learning Library
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616
A PyTorch library for building deep reinforcement learning agents.
Rl_games
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603
RL implementations
Hands On Reinforcement Learning With Python
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596
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Purejaxrl
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460
Really Fast End-to-End Jax RL Implementations
Ppo For Beginners
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427
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-w
Huskarl
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417
Deep Reinforcement Learning Framework + Algorithms
Rllte
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403
Long-Term Evolution Project of Reinforcement Learning
Pytorch Drl
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387
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Lagom
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365
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Xuance
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339
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Pytorch Cpp Rl
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308
PyTorch C++ Reinforcement Learning
Allenact
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288
An open source framework for research in Embodied-AI from AI2.
Rad
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273
RAD: Reinforcement Learning with Augmented Data
Reinforcement_learning
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250
Reinforcement learning tutorials
Rlgraph
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241
RLgraph: Modular computation graphs for deep reinforcement learning
Llm Rlhf Tuning
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225
LLM Tuning with PEFT (SFT+RM+PPO+DPO with LoRA)
Stable Baselines
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221
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Machin
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206
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Tf2 Rl
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178
Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]
Deeprl Tensorflow2
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139
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Torch Ac
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134
Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
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
Doom Net Pytorch
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121
Reinforcement learning models in ViZDoom environment
Rl Collision Avoidance
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112
Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"
Awesome Rl
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110
Awesome RL: Papers, Books, Codes, Benchmarks
Samsung Drl Code
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105
A repository for implementations of deep reinforcement learning lectured at Samsung
Ros2learn
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98
ROS 2 enabled Machine Learning algorithms
Deep Reinforcement Learning With Python
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94
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Rl Examples
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88
Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow
Sc2aibot
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84
Implementing reinforcement-learning algorithms for pysc2 -environment
Run Skeleton Run
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81
Reason8.ai PyTorch solution for NIPS RL 2017 challenge
Db Football
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80
A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI.
Gail_gym
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75
Implementation of Generatve Adversarial Imitation Learning (GAIL) for classic environments from OpenAI Gym.
Ppo
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72
Proximal Policy Optimization implementation with TensorFlow
Tensorswarm
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69
TensorSwarm: A framework for reinforcement learning of robot swarms.
Rl Workshop
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69
Reinforcement Learning Workshop for Data Science BKK
Explorer
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68
Explorer is a PyTorch reinforcement learning framework for exploring new ideas.
Stateadvdrl
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63
[NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"
Reinforcement_learning
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62
Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
Autonomous Driving In Carla Using Deep Reinforcement Learning
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61
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Super Mario Bros Rl
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57
This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super Mario Bros
Mario_rl
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57
Imitation_learning
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56
PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.
Tensorflow_rl
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54
Pytorch Rl
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53
Learning2run
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53
Our NIPS 2017: Learning to Run source code
Model Free Algorithms
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52
TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x
Pensieve Ppo
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51
The simplest implementation of Pensieve (SIGCOMM' 17) via state-of-the-art RL algorithms, including PPO, DQN, and SAC
Learninghumanoidwalking
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50
Training a humanoid robot for locomotion using Reinforcement Learning
Reinforcementlearning
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48
Reinforcing Your Learning of Reinforcement Learning
Reinforcementlearningzoo.jl
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45
Unitytensorflowkeras
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43
Unity In Editor Deep Learning Tools. Using KerasSharp, TensorflowSharp, Unity MLAgent. In-Editor training and no python needed.
Pytorch Learn Reinforcement Learning
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42
A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.
Relational_deep_reinforcement_learning
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41
Ppo
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40
PyTorch implementation of Proximal Policy Optimization
Deepcomp
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36
Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning
Rl_matrix
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36
Reinforcement Learning Agents in .NET
Ppo Pytorch
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35
Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
Pop3d
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35
Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization
Redco
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35
MLSys Workshop NeurIPS 2023 - Redco: A Lightweight Tool to Automate Distributed Training and Inference
Ppo_jax
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33
Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights on all environments.
Llm4rl
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32
A RL approach to enable cost-effective, intelligent interactions between a local agent and a remote LLM
Sebulba
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31
🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX
Drlkit
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29
A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms
Pyrl
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29
PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)
Ppo Stein Control Variate
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29
Proximal Policy Optimization with Stein Control Variates:
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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27
Deep Reinforcement Learning Algorithms Implementation in PyTorch
Meta Reinforcement Learning
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26
Code snippets of Meta Reinforcement Learning algorithms
Rl Policies Attacks Defenses
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26
Adversarial attacks on Deep Reinforcement Learning (RL)
Trading_gym
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25
a unified environment for supervised learning and reinforcement learning in the context of quantitative trading
Football Paris
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23
The exact codes used by the team "liveinparis" at the kaggle football competition ranked 8th/1141
Ai Traineree
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21
PyTorch agents and tools for (Deep) Reinforcement Learning
Pytorch_ppo_rl
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21
Hrl4in
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20
Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
Gym Microrts Paper Sb3
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19
RL agent to play μRTS with Stable-Baselines3 and PyTorch
Pbrl
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19
A Population Based Reinforcement Learning Library based on PyTorch
Rl_gym
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17
Solving several OpenAI Gym and custom gazebo environments using reinforcement learning techniques.
Deep Reinforcement Learning Algorithm Collection
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17
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
Rl_sandbox_public
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14
PyTorch implementation of (Deep) Reinforcement Learning (RL) algorithms
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