1251 Open source projects that are alternatives of or similar to Deterministic Gail Pytorch

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

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

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

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

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

MuZero

TensorFlow2 Reinforcement Learning

A collection of multi agent environments based on OpenAI gym.

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

PyTorch implementation of Soft Actor-Critic (SAC)

Reinforcement Learning Algorithms

Python library for Reinforcement Learning.

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

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

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

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

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

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

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

Tensorflow implementation of generative adversarial imitation learning

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

OpenAI Gym wrapper for the DeepMind Control Suite

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

DrQ: Data regularized Q

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

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..

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

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

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.

Repo for the Deep Reinforcement Learning Nanodegree program

A3C LSTM Atari with Pytorch plus A3G design

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

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

Self-driving car simulator for the Duckietown universe

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

A PyTorch library for building deep reinforcement learning agents.

Conversational AI Reading Materials

Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

A course in reinforcement learning in the wild

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

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

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Implementations of Reinforcement Learning Models in Tensorflow

BabyAI platform. A testbed for training agents to understand and execute language commands.

Guided Policy Search

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020. Please star.

Implementation of the Deep Q-learning algorithm to solve MDPs

StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

An OpenAI Gym Env for Panda

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

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

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

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

Code repository for the Animal AI Olympics competition