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835 search results found
Spinningup
⭐
8,810
An educational resource to help anyone learn deep reinforcement learning.
Tianshou
⭐
6,698
An elegant PyTorch deep reinforcement learning library.
Stable Baselines3
⭐
6,524
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Financial Machine Learning
⭐
4,691
A curated list of practical financial machine learning tools and applications.
Reagent
⭐
3,447
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Acme
⭐
3,181
A library of reinforcement learning components and agents
Agents
⭐
2,602
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Deep Reinforcement Learning Hands On
⭐
2,527
Hands-on Deep Reinforcement Learning, published by Packt
Alphazero_gomoku
⭐
2,427
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Minimalrl
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2,417
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Muzero General
⭐
2,203
MuZero
Garage
⭐
1,677
A toolkit for reproducible reinforcement learning research.
Rl Baselines3 Zoo
⭐
1,488
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Bsuite
⭐
1,410
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
Noreward Rl
⭐
1,315
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
D3rlpy
⭐
1,060
An offline deep reinforcement learning library
Rl Baselines Zoo
⭐
1,025
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Smac
⭐
881
SMAC: The StarCraft Multi-Agent Challenge
Gym Pybullet Drones
⭐
831
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
Smarts
⭐
799
Scalable Multi-Agent RL Training School for Autonomous Driving
Seed_rl
⭐
755
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
Scalable_agent
⭐
746
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
Maro
⭐
730
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
Mushroom Rl
⭐
707
Python library for Reinforcement Learning.
Pytorch Maml Rl
⭐
645
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
Rlseq2seq
⭐
610
Deep Reinforcement Learning For Sequence to Sequence Models
Sample Factory
⭐
602
High throughput synchronous and asynchronous reinforcement learning
Hanabi Learning Environment
⭐
597
hanabi_learning_environment is a research platform for Hanabi experiments.
Slimevolleygym
⭐
581
A simple OpenAI Gym environment for single and multi-agent reinforcement learning
Rlzoo
⭐
561
A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀
Torchbeast
⭐
560
A PyTorch Platform for Distributed RL
Awesome Monte Carlo Tree Search Papers
⭐
537
A curated list of Monte Carlo tree search papers with implementations.
Tensorflow Reinforce
⭐
477
Implementations of Reinforcement Learning Models in Tensorflow
Sumo Rl
⭐
467
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
Robotics Rl Srl
⭐
455
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Recsim
⭐
454
A Configurable Recommender Systems Simulation Platform
Batch_rl
⭐
443
Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
Rl Tutorial Jnrr19
⭐
442
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
Ppo For Beginners
⭐
427
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-w
Furniture
⭐
418
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
Irl Imitation
⭐
412
Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Neptune Client
⭐
411
📒 The MLOps stack component for experiment tracking
Rl Teacher
⭐
410
Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback
Tf2rl
⭐
408
TensorFlow2 Reinforcement Learning
Convlab
⭐
391
DSTC8 Track 1 Task 1 End-to-End Multi-Domain Dialog Challenge Result:
Reinforcement Implementation
⭐
380
Implementation of benchmark RL algorithms
Maml_rl
⭐
379
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Papers In 100 Lines Of Code
⭐
376
Implementation of papers in 100 lines of code.
Genrl
⭐
375
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
Drq
⭐
369
DrQ: Data regularized Q
Citylearn
⭐
366
Official reinforcement learning environment for demand response and load shaping
Lagom
⭐
365
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Rl Book
⭐
362
Snake Ga
⭐
360
AI Agent that learns how to play Snake with Deep Q-Learning
Pytorch Rl
⭐
356
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
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!
Deep_rl_trader
⭐
337
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Alphagozero Python Tensorflow
⭐
330
Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)
Stable Baselines3 Contrib
⭐
327
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
Openai_lab
⭐
314
An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Recnn
⭐
313
Reinforced Recommendation toolkit build around pytorch 1.7
Tonic
⭐
312
Tonic RL library
Spriteworld
⭐
306
Spriteworld: a flexible, configurable python-based reinforcement learning environment
Deep Learning Nlp Rl Papers
⭐
286
Recent Deep Learning papers in NLU and RL
Reinforcement Learning Stanford
⭐
283
🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉
Dm_env
⭐
271
A Python interface for reinforcement learning environments
Deep Rl
⭐
270
Collection of Deep Reinforcement Learning algorithms
Lets Do Irl
⭐
269
Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)
Skrl
⭐
263
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Isaac Orbit and Omniverse Isaac Gym
Rlstructures
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261
RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as examples.
Neural Combinatorial Rl Pytorch
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257
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
Reinforcement_learning
⭐
250
Reinforcement learning tutorials
Rlcycle
⭐
242
A library for ready-made reinforcement learning agents and reusable components for neat prototyping
Gymfc
⭐
242
A universal flight control tuning framework
Machina
⭐
226
Deep Reinforcement Learning framework
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:
Simple_rl
⭐
224
A simple framework for experimenting with Reinforcement Learning in Python.
Stable Baselines
⭐
221
Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Icnn
⭐
207
Input Convex Neural Networks
Autodrome
⭐
204
Framework and OpenAI Gym Environment for Autonomous Vehicle Development
Dqn Chainer
⭐
198
Trading Rl
⭐
195
Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019
Gym Gazebo2
⭐
193
gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo
Mjrl
⭐
191
Reinforcement learning algorithms for MuJoCo tasks
Learning To Communicate Pytorch
⭐
187
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
Cherry
⭐
187
A PyTorch Library for Reinforcement Learning Research
Tf_deep_rl_trader
⭐
186
Trading Environment(OpenAI Gym) + PPO(TensorForce)
Atari
⭐
185
AI research environment for the Atari 2600 games 🤖.
Rl_trading
⭐
181
An environment to high-frequency trading agents under reinforcement learning
Kb Infobot
⭐
174
A dialogue bot for information access
Tensorflow Rl
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173
Implementations of deep RL papers and random experimentation
Fitml
⭐
168
A collection of python Machine Learning articles and examples. You will find code related to Reinforcement Learning, Q Learning, MDP, Bellman, OpenAI solutions and others. You can watch our agents here http://bit.ly/2Ayj4vA
Promp
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166
ProMP: Proximal Meta-Policy Search
T 1000
⭐
165
⚡️ ⚡️ 𝘋𝘦𝘦𝘱 𝘙𝘓 𝘈𝘭𝘨𝘰𝘵𝘳𝘢𝘥𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘙𝘢𝘺 𝘈𝘗𝘐
Spinning Up Basic
⭐
164
Basic versions of agents from Spinning Up in Deep RL written in PyTorch
Text Summarizer Pytorch
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161
Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network
Atari Reset
⭐
156
Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"
Spirl
⭐
154
Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020
H Baselines
⭐
154
A repository of high-performing hierarchical reinforcement learning models and algorithms.
Mdp Dp Rl
⭐
153
Markov Decision Processes, Dynamic Programming and Reinforcement Learning
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