⛰ Reinforcement learning model trying to make car reach to top of mountain
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Updated
Jun 13, 2024 - Python
⛰ Reinforcement learning model trying to make car reach to top of mountain
A Gymnasium environment and RL algorithms for navigation on human arms using ultrasound/MRI
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.
POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.
⚡⚡ Lightning Fast (~300TPS) Reinforcement Learning environment on latest Minecraft 🏝️
Fork of the Mario Kart 64 Gym Environment. Includes training scripts for RL algorithms and Grad-CAM visualization
This repository is a development environment for my thesis which is "Reinforcement learning based automated parking systems".
Connect 4 (X) Environment + GYM + PyGame GUI
A grid-like environment (multi-agent system) used by an intelligent agent (or more than one agent) in order for it/them to carry the orbs to the pits in a limited number of movements.
FitTrack isn't just a website; it's a one-stop hub for fitness enthusiasts. Our platform includes an online store for premium gym supplements, personalized diet and workout programs, and features like a calorie calculator to track progress. With user login and support services, we're here to assist you every step of the way.
Pettingzoo env for the game SuperTuxKart using pystk.
Mini RL Lab
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch,激光雷达Lidar避障,激光雷达仿真模拟,Adaptive-SAC
Pytorch implementation of various distributed reinforcement learning algorithms
Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space (IEEE-IV-2024)
Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making
Tile matching gym environment for reinforcement learning research.
Gym environments for logistics tasks that can be described as "Move something from A to B"
Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors
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