835 Open source projects that are alternatives of or similar to Pytorch Drl

Framework and OpenAI Gym Environment for Autonomous Vehicle Development

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

A learning environment for man-made Interactive Fiction games.

Pytorch Implementation of MuZero

Some notebooks

AIXIjs - General Reinforcement Learning in the Browser

A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.

Minimalistic gridworld package for OpenAI Gym

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Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)

Summary of key papers in deep reinforcement learning. Heavily based on OpenAI SpinningUp.

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro

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Summaries of machine learning papers

A Python interface for reinforcement learning environments

DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

Predict/log/learn/update reinforcement learning loop

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

Implementing trajectory optimization on bipedal system

Open source collection of Reinforcement Learning Environments.

A collection of multi agent environments based on OpenAI gym.

Framework for Multi-Agent Deep Reinforcement Learning in Poker

🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉

Noisy Networks for Exploration

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

Gridworld environments for OpenAI gym.

Basic reinforcement learning implementation with tensorflow version 2.0

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Collection of stats, modeling, and data science tools in Python and R.

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

List of summer schools in machine learning + related fields across the globe

PyTorch Implementation of Trust Region Policy Optimization (TRPO)

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Deep Reinforcement Learning for de-novo Drug Design

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

Behavior Optimization and Learning for Robots

Mostly free resources for end-to-end machine learning engineering, including open courses from CalTech, Columbia, Berkeley, MIT, and Stanford (in alphabetical order).

Classic papers and resources on recommendation

Must-read papers on knowledge graph reasoning

Code for the ACL paper "No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling"

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

Framework for building algorithms based on FractalAI

The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

A library of reinforcement learning components and agents

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Deep reinforcement learning model implementation in Tensorflow + OpenAI gym

Awesome free machine learning and AI courses with video lectures.

CSCI 599 deep learning and its applications final project

Conversational AI Reading Materials

Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork