1127 Open source projects that are alternatives of or similar to Minimalrl

Live Trading. Please star.

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

Minimal implementations of reinforcement learning algorithms by Tensorflow

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

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

RAD: Reinforcement Learning with Augmented Data

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

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

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Accompanying repository for Let's make a DQN / A3C series.

Deep Reinforcement Learning for the JVM (Deep-Q, A3C)

Highly Modular and Scalable Reinforcement Learning

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

Solving OpenAI Gym problems.

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

use AI to play some games.

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

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

A course in reinforcement learning in the wild

Implementations of Reinforcement Learning Models in Tensorflow

Code repository for the Animal AI Olympics competition

Guided Policy Search

Teach a Quadcopter How to Fly!

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

Asynchronous Methods for Deep Reinforcement Learning

Deep Reinforcement Learning (DRL) agents applied to medical images

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

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

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

PyTorch C++ Reinforcement Learning

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

🎮 Advanced Deep Learning and Reinforcement Learning at UCL & DeepMind | YouTube videos 👉

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

TensorFlow implementation of Deep Reinforcement Learning papers

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

Gibson Environments: Real-World Perception for Embodied Agents

Trax — Deep Learning with Clear Code and Speed

StarCraft II - pysc2 Deep Reinforcement Learning Examples

TensorFlow and Deep Learning Tutorials

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Reinforcement learning environments with musculoskeletal models

Unity Machine Learning Agents Toolkit

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

Resources, papers, tutorials

My experimentations with Reinforcement Learning in Pytorch

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

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

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

Structural implementation of RL key algorithms

MXNET + OpenAI Gym implementation of A3C from "Asynchronous Methods for Deep Reinforcement Learning"

Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

Reinforcement learning with tensorflow 2 keras

ChainerRL is a deep reinforcement learning library built on top of Chainer.

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

For deep RL and the future of AI.

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

Deep reinforcement learning using baidu PARL(maze,flappy bird and so on)

Using deep reinforcement learning to tackle the game 2048.