883 Open source projects that are alternatives of or similar to Drl_papernotes

🤖 Implements of Reinforcement Learning algorithms.

Guided Policy Search

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

Code repository for the Animal AI Olympics competition

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

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

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

A course in reinforcement learning in the wild

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

For deep RL and the future of AI.

Reinforcement learning environments with musculoskeletal models

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

[RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

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

A PyTorch library for building deep reinforcement learning agents.

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..

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

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

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

TensorFlow and Deep Learning Tutorials

Trax — Deep Learning with Clear Code and Speed

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

Using deep reinforcement learning to tackle the game 2048.

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

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

Grokking Deep Reinforcement Learning

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

PyTorch implementation of Trust Region Policy Optimization

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

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

TensorFlow2 Reinforcement Learning

PyTorch implementation of soft actor critic

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

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

A3C LSTM Atari with Pytorch plus A3G design

Implementations of Reinforcement Learning Models in Tensorflow

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

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, SAC-AEA)

Implementation of the Deep Q-learning algorithm to solve MDPs

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

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

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

Deep Reinforcement Learning with pytorch & visdom

StarCraft II - pysc2 Deep Reinforcement Learning Examples

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

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

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

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

Reinforcement Learning Algorithms

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

Conversational AI Reading Materials

RLgraph: Modular computation graphs for deep reinforcement learning

Tensorforce: a TensorFlow library for applied reinforcement learning

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

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

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