ppo-agent

There are 28 repositories under ppo-agent topic.

  • pythonlessons/Reinforcement_Learning

    Reinforcement learning tutorials

    Language:Python36476154

  • bitsauce/Carla-ppo

    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.

    Language:Python22842556

  • davide97l/rl-policies-attacks-defenses

    Adversarial attacks on Deep Reinforcement Learning (RL)

    Language:Jupyter Notebook8122613

  • abhilash1910/Deep_Reinforcement_Learning_Trading

    Deep Reinforcement Learning for Trading

    Language:Jupyter Notebook24206

  • Atharv24/SnakeGym

    Multi agent gym environment based on the classic Snake game with implementations of various reinforcement learning algorithms in pytorch

    Language:Python14221

  • mohammadzainabbas/Reinforcement-Learning-CS

    💡 Grasp - Pick-and-place with a robotic hand 👨🏻‍💻

    Language:Jupyter Notebook9204

  • 7enTropy7/Racer_AI

    Developed an highly customizable OpenAI gym environment and trained a stable_baselines3 PPO agent. Used the expert agent for Imitation Learning with DAgger

    Language:Python6201

  • dschori/Ackerbot

    Reinforcement Learning based navigation

    Language:Jupyter Notebook6100

  • ImSOLty/On-The-Waves

    🚤🏖️BOATS DO VZHHHHH BBBDROOM, BEEEEP, BEEEP, GNAA, HONK, VZHHHHHHHHHHHHHH🏖️🚤

    Language:C#4100

  • jookie/jojoBot

    Financial trading strategies using deep reinforcement learning (DRL). It offers a frameworks for quantitative finance, enabling practitioners to create, test, and implement investments strategies.

    Language:TypeScript4210

  • c2d08y/LearningBot

    A deep reinforcement learning Bot for https://kana.byha.top:444/

    Language:Python3100

  • jfpettit/flare

    Modular Reinforcement Learning in PyTorch.

    Language:Python3121

  • JulianCatnip/atst-walker-agent

    Concept and development of a walking AT-ST Walker (Starwars) ML-agent.

    Language:C#3101

  • pranshurastogi29/BTC_mining_fees_optimization_RL

    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

    Language:Jupyter Notebook3211

  • fracapuano/Quinto

    Repository for the final project of the "Computational Intelligence" course @ PoliTo, 2022/2023

    Language:Python2100

  • iamvigneshwars/ai-walkers-ppo-pytorch

    AI agent learns to walk, run, hop and crawl with out any given data using proximal policy optimisation.

    Language:Python2201

  • AnastasiaML/Computational-Intelligence-And-Deep-Learning-Techniques-In-Developing-Intelligent-Agents-For-Games

    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.

    Language:Python1101

  • GerTheMessiah/Snake-AI

    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.

    Language:Python1100

  • harikris001/Super-Mario-Reinforcement_Learning

    Reinforcement Learning in Super Mario using Pytorch and PPO

    Language:Jupyter Notebook120

  • PetropoulakisPanagiotis/igae

    State Representations as Incentives for Reinforcement Learning Agents: A Sim2Real Analysis on Robotic Grasping

    Language:Python130

  • RsGoksel/Snake-Game_PPO-Solution

    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.

    Language:Jupyter Notebook1101

  • ellkrauze/gc-ml

    Java Garbage Collector Performance Tuning with Reinforcement Learning Methods

    Language:Jupyter Notebook0160

  • navneet1083/textsum-tune

    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.

    Language:Jupyter Notebook0100

  • roeey777/Splendor-AI

    AI agents for the boardgame Splendor

    Language:Python02120

  • strcoder4007/Mario-Reinforcement-Learning

    Training a Mario reinforcement learning agent using Open AI Gym and Stable Baselines 3 PPO algorithm.

    Language:Python0200

  • 00Utkarsh00/ML-DOOM

    Automated gaming using machine learning

    Language:Jupyter Notebook10

  • IvanBirkmaier/ppo_agent

    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.

    Language:Python10

  • jookie/jojostock1

    An adaptive Machine Reinforcement Learning (MRL) system is being developed to gather and analyze media data using web scraping, training models to predict outcomes in areas like stock market trends, sports events, and other performance domains. It continuously refines its strategies based on real-time data and evolving patterns.

    Language:Python