Reinforcement learning tutorials
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Updated
Mar 25, 2023 - Python
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.
Multi agent gym environment based on the classic Snake game with implementations of various reinforcement learning algorithms in pytorch
Developed an highly customizable OpenAI gym environment and trained a stable_baselines3 PPO agent. Used the expert agent for Imitation Learning with DAgger
A deep reinforcement learning Bot for https://kana.byha.top:444/
Modular Reinforcement Learning in PyTorch.
AI agent learns to walk, run, hop and crawl with out any given data using proximal policy optimisation.
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.
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
This repository contains the code for a project paper for a Master's module in the field of reinforcement learning. The aim of the project is to explore and implement Proximal Policy Optimization (PPO) agents to learn and play the 7x7 Hex game.
State Representations as Incentives for Reinforcement Learning Agents: A Sim2Real Analysis on Robotic Grasping
Training a Mario reinforcement learning agent using Open AI Gym and Stable Baselines 3 PPO algorithm.
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