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Top 962 reinforcement-learning open source projects

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

Pytorch Ddpg Naf

Implementation of algorithms for continuous control (DDPG and NAF).

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Grid royale

A life simulation for exploring social dynamics

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Awesome Tensorlayer

A curated list of dedicated resources and applications

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Reinforcement Learning

Minimal and Clean Reinforcement Learning Examples

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Ml Games

Machine learning games. Use combination of genetic algorithms and neural networks to control the behaviour of in-game objects.

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Awesome Carla

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

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Football

Check out the new game server:

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Open spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

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Rl Cheatsheet

RL Notation and Pseudocode for Udacity's MLND program

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Train Robot Arm From Scratch

Build environment and train a robot arm from scratch (Reinforcement Learning)

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Learningx

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

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Roboleague

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

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Supergo

A student implementation of Alpha Go Zero

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Learning To Communicate Pytorch

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

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Aleph star

Reinforcement learning with A* and a deep heuristic

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Rl learn

我的强化学习笔记和学习材料📖 still updating ... ...

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Awesome Real World Rl

Great resources for making Reinforcement Learning work in Real Life situations. Papers,projects and more.

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Pytorch Drl

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

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Machine Learning Uiuc

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

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🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

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Rl Agents

Implementations of Reinforcement Learning and Planning algorithms

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Data Science Free

Free Resources For Data Science created by Shubham Kumar

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Deep Rl Trading

playing idealized trading games with deep reinforcement learning

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Applied Reinforcement Learning

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

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Evostra

A fast Evolution Strategy implementation in Python

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Gam

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

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Deeprl Grounding

Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

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Ma Gym

A collection of multi agent environments based on OpenAI gym.

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Ddpg Aigym

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

✭ 225

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Machine Learning Notebooks

Machine Learning notebooks for refreshing concepts.

✭ 222

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Pilco

Bayesian Reinforcement Learning in Tensorflow

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Ns3 Gym

ns3-gym - The Playground for Reinforcement Learning in Networking Research

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Gold

Reinforcement Learning in Go

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Icnn

Input Convex Neural Networks

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Autodrome

Framework and OpenAI Gym Environment for Autonomous Vehicle Development

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Pokerrl

Framework for Multi-Agent Deep Reinforcement Learning in Poker

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Reco Papers

Classic papers and resources on recommendation

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Awesome Deeplearning Resources

Deep Learning and deep reinforcement learning research papers and some codes

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Pytorch Reinforce

PyTorch Implementation of REINFORCE for both discrete & continuous control

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Reinforcement Learning An Introduction Chinese

《Reinforcement Learning: An Introduction》（第二版）中文翻译

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Gymfc

A universal flight control tuning framework

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Alphazero gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

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Pytorch A2c Ppo Acktr Gail

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).