⛰ Reinforcement learning model trying to make car reach to top of mountain
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Updated
Jun 30, 2024 - Python
⛰ Reinforcement learning model trying to make car reach to top of mountain
A collection of useful environments for testing Reinforcement Learning algorithms. Designed (mostly) with discrete, graph-based methods in mind.
Program made for my bachelor's thesis. It compares efficency of different reinforcement learning algorithms at playing Minesweeper.
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
This repository contains the source code for a gym website, implemented as a single page application (SPA) using HTML, CSS, and JavaScript.
Bipedal Walker using DQN
A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
Simple Gridworld Gymnasium Environment
This repository contains a project that leverages reinforcement learning to make a humanoid robot walk in a PyBullet simulation. It uses a custom Gym environment, a Proximal Policy Optimization (PPO) agent, and a provided URDF file for the robot model. The training process prints rewards per generation and visualizes the robot's behavior.
A Gymnasium environment and RL algorithms for navigation on human arms using ultrasound/MRI
Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space (IEEE-IV-2024)
The gym simulation environment used in our IEEE-IV paper "Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space"
Exploring Generalization in Deep Reinforcement Learning algorithms for different tasks using Gymnasium, Gymnasium-Robotics and MuJoCo
Connect 4 (X) Environment + GYM + PyGame GUI
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
This repository is a development environment for my thesis which is "Reinforcement learning based automated parking systems".
Mini RL Lab
Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making
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