1092 Open source projects that are alternatives of or similar to Super Mario Bros Ppo Pytorch

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

A collection of multi agent environments based on OpenAI gym.

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

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

Repo for the Deep Reinforcement Learning Nanodegree program

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

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

OpenAI's cartpole env solver.

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

AI research environment for the Atari 2600 games 🤖.

OpenAI Gym wrapper for the DeepMind Control Suite

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

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

Unreal environments for reinforcement learning

PyTorch Implementation of REINFORCE for both discrete & continuous control

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

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

Run OpenAI Gym on a Server

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

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

RAD: Reinforcement Learning with Augmented Data

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.

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

Sokoban environment for OpenAI Gym

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

DrQ: Data regularized Q

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

Collection of Deep Reinforcement Learning algorithms

Live Trading. Please star.

No description or website provided.

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

PyTorch implementation of Soft Actor-Critic (SAC)

A small Roguelike game that uses Machine Learning to power its entities. Originally used in talks by Ciro & Alessia.

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

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

RLgraph: Modular computation graphs for deep reinforcement learning

Seamless, distributed, real-time integration of Blender into PyTorch data pipelines

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

Simple 3D interior simulator for RL & robotics research

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

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

PyTorch C++ Reinforcement Learning

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

Structural implementation of RL key algorithms

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

HoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.

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

Self-driving car simulator for the Duckietown universe

Texas holdem OpenAi gym poker environment with reinforcement learning based on keras-rl. Includes virtual rendering and montecarlo for equity calculation.

Multiple implementations for abstractive text summurization , using google colab

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

A PyTorch library for building deep reinforcement learning agents.

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

Python library for Reinforcement Learning.

A3C LSTM Atari with Pytorch plus A3G design