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Top 962 reinforcement-learning open source projects

Autokernel
AutoKernel 是一个简单易用,低门槛的自动算子优化工具,提高深度学习算法部署效率。
Neurojs
A JavaScript deep learning and reinforcement learning library.
Robosuite
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Rl Book
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
Robotics Rl Srl
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
Torch Light
Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.
Tensor House
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain
Reinforcement learning tutorial with demo
Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
Smac
SMAC: The StarCraft Multi-Agent Challenge
Qlearning trading
Learning to trade under the reinforcement learning framework
Autonomous Learning Library
A PyTorch library for building deep reinforcement learning agents.
Spot mini mini
Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
Deep Reinforcement Learning Survey
My Exploration on Deep Reinforcement Learning Survey
Mlinterview
A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!
World Models
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
Deep Rl Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
Contextualbandits
Python implementations of contextual bandits algorithms
Unreal
Reinforcement learning with unsupervised auxiliary tasks
Pypokerengine
Poker engine for poker AI development in Python
Maro
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
Gym Duckietown
Self-driving car simulator for the Duckietown universe
Starcraft
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
Home Platform
HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.
Reinforcement Learning In Portfolio Management
In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.
Recnn
Reinforced Recommendation toolkit built around pytorch 1.7
Genrl
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL
Rl Chatbot
🤖 Deep Reinforcement Learning Chatbot
Meta Rl
Implementation of Meta-RL A3C algorithm
Cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features
Ai Blog
Accompanying repository for Let's make a DQN / A3C series.
Curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Arxivtimes
repository to research & share the machine learning articles
Pomdps.jl
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
Trpo
Trust Region Policy Optimization with TensorFlow and OpenAI Gym
Rlzoo
A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀
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