381 Open source projects that are alternatives of or similar to DRL_DeliveryDuel

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

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.

Rainbow Six Siege map quick references

Deep Reinforcement Learning for Robotic Grasping from Octrees

No description or website provided.

A set of PHP forms and MySQL databases that generate keyboard control diagrams in a new browser window. You can select control bindings from among various video games and other software.

Reinforcement Learning Demos

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

使用深度强化学习解决视觉跟踪和视觉导航问题

Game engine behind Sea Dogs, Pirates of the Caribbean and Age of Pirates games.

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

A Real-Time-Strategy game for Deep Learning research

Sandbox freestyle multiplayer game/engine in LÖVE/LUA.

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.

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

Power metal strategy RPG

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.

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

Machine- and Reinforcement Learning ExtensioN for (game) Engines

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

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

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

Deep reinforcement learning with tensorflow2

Cloud-native Financial Reinforcement Learning

Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing

Develop ultimate AI Pokémon trainer

Eagerly Experimentable!!!

Hierarchical-DQN in pytorch (not actively maintained)

Shellcore Command Remastered

Fitness landscape exploration sandbox for biological sequence design.

Win probability predictions for League of Legends matches using neural networks

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

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

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

No description or website provided.

474417 Games with Metacritic Score, Ratings, Genres, Publishers, Platforms, ...

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.

Evaluating pre-trained navigation agents under corruptions

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

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

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

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

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

Command line tools for creating Quake content.

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

A small roguelike game developed live on Twitch.

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

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

High-speed Autonomous Drifting with Deep Reinforcement Learning

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

Lightweight deep RL Libraray for continuous control.

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

A high-level framework for advanced deep learning with TensorFlow

The Amanuensis is an automated songwriting and recording system aimed at ridding the process of anything left-brained, so one need never leave a creative, spontaneous and improvisational state of mind, from the inception of the song until its final master. See the README for instructions and feel free to message me at soundcloud.com/to_the_sun.

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

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

No description or website provided.

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

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

AutoPentest-DRL: Automated Penetration Testing Using Deep Reinforcement Learning