Topic: custom-environment Goto Github
Some thing interesting about custom-environment
Some thing interesting about custom-environment
custom-environment,This repository contains implementations for reward shaping based governance kernel layer experiments
User: ashishrana160796
Home Page: https://github.com/arana-initiatives/ai-portfolio-bibliography
custom-environment,Repository for a custom OpenAI Gym compatible environment for the Parrot Drone ANAFI 4K.
User: gargivaidya
Home Page: https://gargivaidya.github.io/
custom-environment,OpenAI's PPO baseline applied to the classic game of Snake
User: gniendorf
custom-environment,This project involves creating a custom Blackjack environment and training an AI using reinforcement learning techniques, specifically Proximal Policy Optimization (PPO) and Deep Q-Network (DQN). The goal is to teach the AI to play Blackjack and achieve the best possible win rate.
User: hasancancakicioglu
custom-environment,My Debian configuration dotfiles (backup). Minimalistic environment and instruments with old-school fonts.
User: iikrllx
custom-environment,Custom-built Proximal Policy Optimization (PPO) agent learns to master a 2D shooter game. Features from-scratch PPO implementation, Pygame-based environment, and OpenAI Gym integration. Showcases reinforcement learning in game AI, combining advanced algorithm development with practical game design.
User: jeffasante
custom-environment,Deep Reinforcement Learning with Custom Environment
User: melli0505
custom-environment,Tutorial for using Stable Baselines 3 for creating custom policies
User: nish-19
custom-environment,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.
User: talhazaidi13
Home Page: https://ieeexplore.ieee.org/abstract/document/10207710
custom-environment,The program uses the DDPG algorithm and tf_agents library to train an agent in a custom environment called "TargetSeeker"
User: ukoksoy
custom-environment,Reinforcement Learning and Deeep reinforcement Learning
User: wb-az
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