⛰ 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
Aplicativo Web para treinos de academia com foco em mensurar o ganho de força do usuário ao longo do tempo 🏋🏽♂️. Clique aqui para saber mais!
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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.
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.
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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)
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