346 Open source projects that are alternatives of or similar to snake-reinforcement-DNN

Booklet and exam of Artificial Intelligence Master Degree at Amirkabir University of technology.

A terminal interface for Snake

Curso de Aprendizaje por Refuerzo, de 0 a 100 con notebooks y slides muy sencillas para entenderlo todo perfectamente.

Deep Reinforcement Learning for Robotic Grasping from Octrees

No description or website provided.

A Q-learning web visualizer for Snake built with React

[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

Machine- and Reinforcement Learning ExtensioN for (game) Engines

使用深度强化学习解决视觉跟踪和视觉导航问题

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

Develop ultimate AI Pokémon trainer

Simple rebuilt of the classic Snake game for the NES in C using the cc65 cross compiler.

Evaluating pre-trained navigation agents under corruptions

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

No description or website provided.

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

source code for 'Improving automatic source code summarization via deep reinforcement learning'

Deep Developmental Reinforcement Learning

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.

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

An implementation of (Double/Dueling) Deep-Q Learning to play Super Mario Bros.

Cloud-native Financial Reinforcement Learning

Code for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning

A high-level framework for advanced deep learning with TensorFlow

Basic Snake Game in TypeScript

🐵 An AI chess-board-game framework(by many programming languages) implementations.

NeurIPS 2019: DQN(λ) = Deep Q-Network + λ-returns.

🐍 微信小程序游戏，贪吃蛇

Official implementation of the paper "Approximating two value functions instead of one: towards characterizing a new family of Deep Reinforcement Learning Algorithms": https://arxiv.org/abs/1909.01779 To appear at the next NeurIPS2019 DRL-Workshop

End to End Mobile Robot Navigation using DDPG (Continuous Control with Deep Reinforcement Learning) based on Tensorflow + Gazebo

Deep Reinforcement Learning Algorithms Implementation in PyTorch

No description or website provided.

Deep reinforcement learning with tensorflow2

Reinforcement Learning Demos

Implementation of Deep/Double Deep/Dueling Deep Q networks for playing Atari games using Keras and OpenAI gym

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

Hierarchical-DQN in pytorch (not actively maintained)

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"

Flappy Frog hack using Deep Reinforcement Learning (Deep Q-learning). 暴力膜蛤不可取。

Nostálgico jogo da 🐍 em JavaScript.

An out-of-the-box GUI tool for offline deep reinforcement learning

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

High-speed Autonomous Drifting with Deep Reinforcement Learning

Deep Reinforcement Learning applied to a modern 3D video-game environment called Delivery Duel.

Lightweight deep RL Libraray for continuous control.

With underflow, create trafic light clusters that interact together to regulate circulation

React-Redux-Typescript-Immutable实现贪吃蛇小游戏

Fitness landscape exploration sandbox for biological sequence design.

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

Research repo of RL

Mxnet implementation of Deep Reinforcement Learning papers, such as DQN, PG, DDPG, PPO

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.

PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)