⛰ Reinforcement learning model trying to make car reach to top of mountain
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Updated
Jun 1, 2024 - Python
⛰ Reinforcement learning model trying to make car reach to top of mountain
A collection of optimization puzzles and problems solved using mostly mixed integer programming.
♟️ chess engine under development
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Examples of how to use NVIDIA Omniverse Isaac Sim to solve Reinforcement Learning Games (rl-games)
In questa repository una collezione di tutorial sulle basi del Reinforcement Learning, sviluppati in Python, interamente in italiano.
A rusty reinforcement learning library
A collection of robotics simulation environments for reinforcement learning
A Program to digitalize twisty puzzles, save algorithms as well as solving strategies for them and solve them with an AI based on Q-Learning with Neural Networks.
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Minesweeper for the web: human or AI edition
Library for reinforcement learning with c++
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
🔋 Datasets with baselines for offline multi-agent reinforcement learning.
Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making
Solving the Atari Frogger Game with Reinforcement Learning
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
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.
testing MLP, DQN, PPO, SAC, policy-gradient by snake
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