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479 search results found

Trax — Deep Learning with Clear Code and Speed

Cleanrl ⭐ 3,947

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Reinforcement Learning ⭐ 3,119

Minimal and Clean Reinforcement Learning Examples

Deeprl ⭐ 2,834

Modularized Implementation of Deep RL Algorithms in PyTorch

Deep Reinforcement Learning With Pytorch ⭐ 2,741

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Minimalrl ⭐ 2,417

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Rlcard ⭐ 2,260

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Muzero General ⭐ 2,203

Ppoxfamily ⭐ 1,979

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践）

Habitat Lab ⭐ 1,670

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

Rl Baselines3 Zoo ⭐ 1,640

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Snake ⭐ 1,596

Artificial intelligence for the Snake game.

Deep Rl Tensorflow ⭐ 1,505

TensorFlow implementation of Deep Reinforcement Learning papers

Top Deep Learning ⭐ 1,437

Top 200 deep learning Github repositories sorted by the number of stars.

Di Star ⭐ 1,391

An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

Noreward Rl ⭐ 1,315

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Rainbow ⭐ 1,272

Rainbow: Combining Improvements in Deep Reinforcement Learning

Ppo Pytorch ⭐ 1,270

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

D3rlpy ⭐ 1,149

An offline deep reinforcement learning library

Softlearning ⭐ 1,108

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Slm Lab ⭐ 1,052

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Finrl Meta ⭐ 1,049

FinRL-Meta: Dynamic datasets and market environments for FinRL.

Ai Economist ⭐ 1,022

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

Deep Q Learning ⭐ 894

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Deepdrive ⭐ 845

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Scalable, event-driven, deep-learning-friendly backtesting library

Rl Book ⭐ 794

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

Pytorch A3c ⭐ 768

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Pygame Learning Environment ⭐ 727

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

Deeprl Tutorials ⭐ 726

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Pysc2 Examples ⭐ 721

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Pytorch Rl ⭐ 703

Deep Reinforcement Learning with pytorch & visdom

Osim Rl ⭐ 695

Reinforcement learning environments with musculoskeletal models

Pytorch Rl ⭐ 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 ⭐ 616

A PyTorch library for building deep reinforcement learning agents.

Marllib ⭐ 611

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

Neural Slam ⭐ 592

Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"

Dissecting Reinforcement Learning ⭐ 585

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Animalai Olympics ⭐ 552

Code repository for the Animal AI Olympics competition

Sumo Rl ⭐ 545

Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

Rl_a3c_pytorch ⭐ 535

A3C LSTM Atari with Pytorch plus A3G design

Phillip ⭐ 521

The SSBM "Phillip" AI.

Deep Trading Agent ⭐ 514

Deep Reinforcement Learning based Trading Agent for Bitcoin

Crypto Rl ⭐ 497

Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent

Deep Reinforcement Learning Algorithms With Pytorch ⭐ 484

Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, PPO, DDPG, TD3, SAC, ASL)

DEEp Reinforcement learning framework

Tensorflow Reinforce ⭐ 477

Implementations of Reinforcement Learning Models in Tensorflow

Purejaxrl ⭐ 460

Really Fast End-to-End Jax RL Implementations

Agilerl ⭐ 457

Streamlining reinforcement learning with RLOps

Trending Deep Learning ⭐ 449

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Pytorch Soft Actor Critic ⭐ 414

PyTorch implementation of soft actor critic

TensorFlow2 Reinforcement Learning

Reinforcement Learning Algorithms ⭐ 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)

Detection 2016 Nipsws ⭐ 393

Hierarchical Object Detection with Deep Reinforcement Learning

Visual Pushing Grasping ⭐ 383

Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.

Tf_chatbot_seq2seq_antilm ⭐ 373

Seq2seq chatbot with attention and anti-language model to suppress generic response, option for further improve by deep reinforcement learning.

Deep_rl ⭐ 372

PyTorch implementations of deep reinforcement learning algorithms

DrQ: Data regularized Q

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Pytorch Rl ⭐ 356

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Reward Learning Rl ⭐ 348

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

Neural Symbolic Machines ⭐ 346

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

Imitation Learning ⭐ 344

Imitation learning algorithms

Deep_rl_trader ⭐ 337

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

Machine Learning Is All You Need ⭐ 337

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Reinforcement Learning Algorithms Based on PyTorch

Openai_lab ⭐ 314

An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.

Di Sheep ⭐ 313

羊了个羊 + 深度强化学习（Deep Reinforcement Learning + 3 Tiles Game)

Muzero Pytorch ⭐ 302

Pytorch Implementation of MuZero

Dexteroushands ⭐ 300

This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym

Accel Brain Code ⭐ 289

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language proces

Hands On Intelligent Agents With Openai Gym ⭐ 280

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Chanlun ⭐ 277

文件笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要 #股票 #股市 #缠论 https://v.kuaishou.com/bFEl6M Copy this message and open 【Kwai】to view!

Environments for OR and RL Research

Deep Planning Network: Control from pixels by latent planning with learned dynamics

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Pytorch Trpo ⭐ 252

PyTorch implementation of Trust Region Policy Optimization

Deep Rl Trading ⭐ 248

playing idealized trading games with deep reinforcement learning

Rlgraph ⭐ 241

RLgraph: Modular computation graphs for deep reinforcement learning

DIAMBRA Arena: a New Reinforcement Learning Platform for Research and Experimentation

Actor-critic with experience replay

Machine Learning Goodness ⭐ 235

The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.

Deep Reinforcement Learning Gym ⭐ 235

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

Machine Learning Uiuc ⭐ 235

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

Macad Gym ⭐ 224

Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

Pomdp Baselines ⭐ 224

Simple (but often Strong) Baselines for POMDPs in PyTorch (ICML 2022)

Watermark Remover ⭐ 223

Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现（目前只支持固定水印位置）。

Drl Robot Navigation ⭐ 214

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

Learningx ⭐ 213

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

Pytorch Ddpg ⭐ 207

Implementation of the Deep Deterministic Policy Gradient (DDPG) using PyTorch

Mini Alphastar ⭐ 206

A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II.

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Drl_grasping ⭐ 196

Deep Reinforcement Learning for Robotic Grasping from Octrees

Gym Gazebo2 ⭐ 193

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

Naf Tensorflow ⭐ 188

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

Learning To Communicate Pytorch ⭐ 187

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Autopentest Drl ⭐ 182

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

Object Goal Navigation ⭐ 177

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

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