There are 1 repository under ppo-agent topic.
Reinforcement learning tutorials
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.
Adversarial attacks on Deep Reinforcement Learning (RL)
Deep Reinforcement Learning for Trading
💡 Grasp - Pick-and-place with a robotic hand 👨🏻💻
A deep reinforcement learning Bot for https://kana.byha.top:444/
Concept and development of a walking AT-ST Walker (Starwars) ML-agent.
In this project, I have tried to use DeepRL for optimizing the selection of transactions done by the miner to increase the fee when they execute a block on the chain
🚤🏖️BOATS DO VZHHHHH BBBDROOM, BEEEEP, BEEEP, GNAA, HONK, VZHHHHHHHHHHHHHH🏖️🚤
The aim of this repository is the analysis and study of computer intelligence and in-depth learning techniques in the development of intelligent gaming agents.
Repository for the final project of the "Computational Intelligence" course @ PoliTo, 2022/2023
Reinforcement Learning in Super Mario using Pytorch and PPO
AI agent learns to walk, run, hop and crawl with out any given data using proximal policy optimisation.
Snake game environment integrated with OpenAI Gym. Proximal Policy Optimization (PPO) implementation for training. Visualization of training progress and agent performance. Easy to understand code.
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.
Automated gaming using machine learning
This project is based on fine-tuning LLM models (FLAN-T5) for text summarisation task using PEFT approach. All evaluation metrics being computed on ROUGE scoring and LoRA optimisation techniques being used for fine-tuning.