752 Open source projects that are alternatives of or similar to Deepbootcamp

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

Using deep reinforcement learning to tackle the game 2048.

Implementation of the Deep Q-learning algorithm to solve MDPs

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

Gibson Environments: Real-World Perception for Embodied Agents

Grokking Deep Reinforcement Learning

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

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

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DrQ: Data regularized Q

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

RLgraph: Modular computation graphs for deep reinforcement learning

PyTorch implementation of Trust Region Policy Optimization

Tensorforce: a TensorFlow library for applied reinforcement learning

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

TensorFlow2 Reinforcement Learning

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..

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

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

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

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

Code repository for the Animal AI Olympics competition

Deep Reinforcement Learning with pytorch & visdom

TensorFlow and Deep Learning Tutorials

RAD: Reinforcement Learning with Augmented Data

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

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

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

Minimal and Clean Reinforcement Learning Examples

PyTorch implementation of soft actor critic

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

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

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

A Comprehensive Reinforcement Learning Zoo for Simple Usage 🚀

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

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

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

A PyTorch library for building deep reinforcement learning agents.

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

For deep RL and the future of AI.

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

A3C LSTM Atari with Pytorch plus A3G design

Implementations of Reinforcement Learning Models in Tensorflow

Guided Policy Search

A course in reinforcement learning in the wild

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

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

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

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

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

StarCraft II - pysc2 Deep Reinforcement Learning Examples

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

Trax — Deep Learning with Clear Code and Speed

PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

Python library for Reinforcement Learning.

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

Reinforcement learning environments with musculoskeletal models

Reinforcement Learning Algorithms