803 Open source projects that are alternatives of or similar to Autonomous Learning Library

Master Thesis: Limit order placement with Reinforcement Learning

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

Grokking Deep Reinforcement Learning

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

Resources, papers, tutorials

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

PyTorch C++ Reinforcement Learning

PyTorch implementation of Trust Region Policy Optimization

Structural implementation of RL key algorithms

Deep Reinforcement Learning (DRL) agents applied to medical images

PyTorch implementation of soft actor critic

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

AI for Snake game trained from pixels using Deep Reinforcement Learning (DQN).

Teach a Quadcopter How to Fly!

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

A PyTorch implementation of Rainbow DQN agent

강화학습에 대한 기본적인 알고리즘 구현

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

Unity Machine Learning Agents Toolkit

Accompanying repository for Let's make a DQN / A3C series.

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

PyTorch implementation of Soft Actor-Critic (SAC)

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

TensorFlow2 Reinforcement Learning

Implementations of deep RL papers and random experimentation

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 processing.

AI research environment for the Atari 2600 games 🤖.

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

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

A reinforcement learning package for Julia

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

The Retro Learning Environment (RLE) -- a learning framework for AI

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

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

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

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

Reinforcement learning with A* and a deep heuristic

Tensorforce: a TensorFlow library for applied reinforcement learning

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

AI斗地主

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

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

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

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

A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

DrQ: Data regularized Q

Provide full reinforcement learning benchmark on mujoco environments, including ddpg, sac, td3, pg, a2c, ppo, library

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

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

Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

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

Minimal implementations of reinforcement learning algorithms by Tensorflow

Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

Learning Continuous Control in Deep Reinforcement Learning

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation