ppo-agent
There are 22 repositories under ppo-agent topic.
pythonlessons/Reinforcement_Learning
Reinforcement learning tutorials
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.
davide97l/rl-policies-attacks-defenses
Adversarial attacks on Deep Reinforcement Learning (RL)
abhilash1910/Deep_Reinforcement_Learning_Trading
Deep Reinforcement Learning for Trading
Atharv24/SnakeGym
Multi agent gym environment based on the classic Snake game with implementations of various reinforcement learning algorithms in pytorch
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
dschori/Ackerbot
Reinforcement Learning based navigation
mohammadzainabbas/Reinforcement-Learning-CS
💡 Grasp - Pick-and-place with a robotic hand 👨🏻💻
c2d08y/LearningBot
A deep reinforcement learning Bot for https://kana.byha.top:444/
jfpettit/flare
Modular Reinforcement Learning in PyTorch.
JulianCatnip/atst-walker-agent
Concept and development of a walking AT-ST Walker (Starwars) ML-agent.
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
ImSOLty/On-The-Waves
🚤🏖️BOATS DO VZHHHHH BBBDROOM, BEEEEP, BEEEP, GNAA, HONK, VZHHHHHHHHHHHHHH🏖️🚤
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.
fracapuano/Quinto
Repository for the final project of the "Computational Intelligence" course @ PoliTo, 2022/2023
harikris001/Super-Mario-Reinforcement_Learning
Reinforcement Learning in Super Mario using Pytorch and PPO
iamvigneshwars/ai-walkers-ppo-pytorch
AI agent learns to walk, run, hop and crawl with out any given data using proximal policy optimisation.
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.
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.
00Utkarsh00/ML-DOOM
Automated gaming using machine learning
ellkrauze/gc-ml
Performance Tuning using Reinforcement Learning
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.