⛰ Reinforcement learning model trying to make car reach to top of mountain
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Updated
Jun 12, 2024 - Python
⛰ Reinforcement learning model trying to make car reach to top of mountain
Extended, multi-agent and multi-objective (MaMoRL) environments based on DeepMind's AI Safety Gridworlds. This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. It is made compatible with OpenAI's Gym/Gymnasium and Farama Foundation PettingZoo.
Self hosted FLOSS fitness/workout, nutrition and weight tracker
Unreal environments for reinforcement learning
This project is a pipeline that connects a Matlab simulation (Simulink) to an OpenAI Gym wrapper for PyTorch Reinforcement Learning using the DQN algorithm.
Welcome to Gym Companion! Our project, developed with .NET 8, is your ultimate fitness partner. Get access to exercise guides, personalized gym plans, and a convenient shop for all your equipment needs. Whether you're a beginner or a pro, we've got everything you need to level up your fitness game. Let's sweat it out together!
A web app for tracking your workouts
An implementation of the "gridroboman" environment from the paper "Retrieval Augmented Reinforcement Learning".
World Model based Autonomous Driving Platform in CARLA 🚗
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.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Free Analytics for Strong Data.
Gym tracker with Dropbox storage
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Gym Management System provides an easy to use interface for the users and a database for the admin to maintain the records of gym members
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