1017 Open source projects that are alternatives of or similar to Rl Medical

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Using deep reinforcement learning to tackle the game 2048.

TensorFlow and Deep Learning Tutorials

For deep RL and the future of AI.

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

StarCraft II - pysc2 Deep Reinforcement Learning Examples

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

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

Resources, papers, tutorials

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

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

Trax — Deep Learning with Clear Code and Speed

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

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

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

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

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

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

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

Highly Modular and Scalable Reinforcement Learning

Notes and comments about Deep Reinforcement Learning papers

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

My Solution to Assignments of CS234

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

Code repository for the Animal AI Olympics competition

Guided Policy Search

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

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

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

Deep Reinforcement Learning with pytorch & visdom

A3C LSTM Atari with Pytorch plus A3G design

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

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

Reinforcement Learning Algorithms

Reinforcement learning environments with musculoskeletal models

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

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

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

Implementations of Reinforcement Learning Models in Tensorflow

🤖 Implements of Reinforcement Learning algorithms.

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

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

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

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

An advanced program in Machine Learning and Deep Learning

MuZero

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

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

Artificial intelligence for the Snake game.

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

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

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

A course in reinforcement learning in the wild

Implementation of the Deep Q-learning algorithm to solve MDPs

Repository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung

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