752 Open source projects that are alternatives of or similar to Samsung Drl Code

Code repository for the Animal AI Olympics competition

My Solution to Assignments of CS234

Reinforcement learning environments with musculoskeletal models

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

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

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

Trax — Deep Learning with Clear Code and Speed

StarCraft II - pysc2 Deep Reinforcement Learning Examples

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

Implementation of the Deep Q-learning algorithm to solve MDPs

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

Notes and comments about Deep Reinforcement Learning papers

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..

A3C LSTM Atari with Pytorch plus A3G design

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

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

Gibson Environments: Real-World Perception for Embodied Agents

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

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

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

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

For deep RL and the future of AI.

Using deep reinforcement learning to tackle the game 2048.

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

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

A PyTorch library for building deep reinforcement learning agents.

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

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

Python library for Reinforcement Learning.

Repo for the Deep Reinforcement Learning Nanodegree program

Implementations of Reinforcement Learning Models in Tensorflow

A course in reinforcement learning in the wild

Guided Policy Search

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

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

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

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

TensorFlow and Deep Learning Tutorials

Deep Reinforcement Learning with pytorch & visdom

Artificial intelligence for the Snake game.

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

Reinforcement Learning Algorithms

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

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

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

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

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

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

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

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

MuZero

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

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

TensorFlow2 Reinforcement Learning

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

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

An advanced program in Machine Learning and Deep Learning