OpenAI's PPO baseline applied to the classic game of Snake
-
Updated
Mar 1, 2020 - Python
OpenAI's PPO baseline applied to the classic game of Snake
We provide the code repository for our paper This repository includes the necessary code to replicate our experiments and utilize our DRL model for spacecraft trajectory planning. By accessing the repository, researchers and practitioners can benefit from our approach to efficiently transfer spacecraft to GEO using low-thrust propulsion systems.
My Debian configuration dotfiles (backup). Minimalistic environment and instruments with old-school fonts.
Deep Reinforcement Learning with Custom Environment
Repository for a custom OpenAI Gym compatible environment for the Parrot Drone ANAFI 4K.
Tutorial for using Stable Baselines 3 for creating custom policies
Reinforcement Learning and Deeep reinforcement Learning
This repository contains implementations for reward shaping based governance kernel layer experiments
The program uses the DDPG algorithm and tf_agents library to train an agent in a custom environment called "TargetSeeker"
Add a description, image, and links to the custom-environment topic page so that developers can more easily learn about it.
To associate your repository with the custom-environment topic, visit your repo's landing page and select "manage topics."