Here i write basic optimisation algorithm using rl algroithms on AI gyms
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Updated
Jul 16, 2022 - Jupyter Notebook
Here i write basic optimisation algorithm using rl algroithms on AI gyms
🤖 Materials and homework assignments for HSE reinforcement learning course
tabular and deep rl algorithms
Custom implementations of RL algorithms that can solve complex tasks like Atari games
Repositorio para el contenido relativo al trabajo de fin de máster desarrollado en el Máster de Inteligencia Artificial de la Universidad Internacional de La Rioja (UNIR).
Minimal implementation of Proximal Policy Optimization (PPO) in PyTorch
Short own implementation of the game snake. In this project I'am using the ray library together with ray tune and a custom PPO model.
Collection of Reinforcement Learning models for training in the VizDoom and CartPole environments. Developed by Group 2 for the University of Bath's CM50270 module, exploring advanced strategies for models navigating complex situations.
A repository for easy understanding of codes in Deep Reinforcement Learning
TD3 and PPO implementation -- Final project for the course ELEC-E8125 Reinforcement Learning at Aalto University
An easily understandable implementation of Proximal Policy Optimization with PyTorch
Repository of Various Test & Implementation of RL
This project aims to find a possible solution to a search problem in a given environment with two players using Proximal Policy Optimization as AI algorithm.
The pytorch implementation of ppo
Informationally Mosaic Reinforcement Learning (Preprint: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=nargncAAAAAJ&citation_for_view=nargncAAAAAJ:W7OEmFMy1HYC)
An exploration of the effects of Intrinsic Motivation methods on RL algorithms using Atari games.
AI agent learns to walk, run, hop and crawl with out any given data using proximal policy optimisation.
Muno server for bandwidth estimation in video conferencing
Parallelized implementation of Proximal Policy Optimization (PPO).
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