785 Open source projects that are alternatives of or similar to Paac.pytorch

MuZero

Explore and find reinforcement learning environments in a list of 150+ open source environments.

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

DrQ: Data regularized Q

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

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

Reinforcement Learning Algorithms

PyTorch implementation of Soft Actor-Critic (SAC)

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

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

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

PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)

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

RAD: Reinforcement Learning with Augmented Data

RLgraph: Modular computation graphs for deep reinforcement learning

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

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

Tensorforce: a TensorFlow library for applied reinforcement learning

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

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

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

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

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

TensorFlow and Deep Learning Tutorials

PyTorch implementation of Trust Region Policy Optimization

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

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

Deep Reinforcement Learning with pytorch & visdom

Code repository for SARNet: Learning Multi-Agent Communication through Structured Attentive Reasoning (NeurIPS 2020)

Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.

Gibson Environments: Real-World Perception for Embodied Agents

Reinforcement learning environments with musculoskeletal models

PyTorch implementation of soft actor critic

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

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

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Grokking Deep Reinforcement Learning

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

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

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

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

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

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

Repo for the Deep Reinforcement Learning Nanodegree program

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

Structural implementation of RL key algorithms

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

A PyTorch library for building deep reinforcement learning agents.

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Python library for Reinforcement Learning.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

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..

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

Implementations of Reinforcement Learning Models in Tensorflow

A course in reinforcement learning in the wild

A3C LSTM Atari with Pytorch plus A3G design

Guided Policy Search

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