2196 Open source projects that are alternatives of or similar to Rlcard

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

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

use AI to play some games.

StarCraft II - pysc2 Deep Reinforcement Learning Examples

Python library for Reinforcement Learning.

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

Code repository for the Animal AI Olympics competition

For deep RL and the future of AI.

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

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

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

A3C LSTM Atari with Pytorch plus A3G design

OpenAI's cartpole env solver.

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

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

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

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

Artificial intelligence for the Snake game.

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

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

Repo for the Deep Reinforcement Learning Nanodegree program

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

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)

(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

Starcraft AI Bot

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..

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

A PyTorch library for building deep reinforcement learning agents.

A course in reinforcement learning in the wild

Implementations of Reinforcement Learning Models in Tensorflow

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

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

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

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

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

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

Guided Policy Search

A Tetris Game with AI

A free/open source client and automation tool for Ragnarok Online

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

Using deep reinforcement learning to tackle the game 2048.

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

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

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

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

An OpenAI Gym Env for Panda

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Trax — Deep Learning with Clear Code and Speed

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

🔥 An online poker game server powered by Redis, node.js and socket.io

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

TensorFlow and Deep Learning Tutorials

Deep Reinforcement Learning with pytorch & visdom

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

Open-source simulator for autonomous driving research.

A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

Reinforcement learning environments with musculoskeletal models