752 Open source projects that are alternatives of or similar to Left Shift

Reinforcement Learning Algorithms

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

TensorFlow2 Reinforcement Learning

RAD: Reinforcement Learning with Augmented Data

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

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

A3C LSTM Atari with Pytorch plus A3G design

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

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

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

Minimal and Clean Reinforcement Learning Examples

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

DrQ: Data regularized Q

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

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

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

PyTorch implementation of soft actor critic

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

A course in reinforcement learning in the wild

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.

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

Gibson Environments: Real-World Perception for Embodied Agents

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

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

Deep Reinforcement Learning with pytorch & visdom

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

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

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

Tensorforce: a TensorFlow library for applied reinforcement learning

RLgraph: Modular computation graphs for deep reinforcement learning

Pytorch implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning https://arxiv.org/abs/1705.04862

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

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

Grokking Deep Reinforcement Learning

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

PyTorch implementation of Trust Region Policy Optimization

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

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

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

playing idealized trading games with deep reinforcement learning

Python library for Reinforcement Learning.

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..

Implementations of Reinforcement Learning Models in Tensorflow

A PyTorch library for building deep reinforcement learning agents.

Code repository for the Animal AI Olympics competition

Guided Policy Search

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

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

Reinforcement learning environments with musculoskeletal models

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Trax — Deep Learning with Clear Code and Speed

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

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

Repo for the Deep Reinforcement Learning Nanodegree program

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

StarCraft II - pysc2 Deep Reinforcement Learning Examples

TensorFlow and Deep Learning Tutorials