Tabular methods for reinforcement learning
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Updated
Jul 3, 2020 - Python
Tabular methods for reinforcement learning
This repository contains the code for automatically generating piano fingerings using a reinforcement learning agent that uses Q-Learning.
Open-zero is a research project aiming to realize the various projects of the company DeepMind
The objective is to teach robot to find and reach the target object in the minimum number of steps and using the shortest path and avoiding any obstacles such as humans, walls, etc usinf reinforcement learning algorithms.
Turn based strategy game with AI
Implementation of Q-learning to solve GridWorld
A reinforcement learning agent with reflection capabilities for dynamic maze navigation. Implements dual memory system, real-time adaptation, and environment change detection. Open source with research papers and documentation.
The implementation for the paper Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis // NeurIPS 2022
Two intelligent agents (cat and mouse) compete with each other to achieve their goal. Agents are trained through reinforcement learning (Q-learning).
Demonstration of Q-Learning and SARSA algorithms utilizing Python and OpenAI GYM
a Python-based platformer infused with Q-Learning and dynamic level creation from simple JSON files.
Docking robot in a grid environment trained it with Q-learning
RL-guided ETL remediation agent with schema-drift detection, error classification, Q-learning decisions, synthetic benchmarks, and AWS Lambda deployment templates.
SUTD 50.021 Artificial Intelligence Project - Wordle Solver using Reinforcement Learning
Q-Learning applied to Gymnasium's Toy Text environments: FrozenLake, CliffWalking, BlackJack, and Taxi.
Codes for the AISTATS 2023 paper, A Statistical Analysis of Polyak-Ruppert Averaged Q-learning.
In this repo I have build Reinforcement Learning projects from scratch — tabular methods to agentic AI.
Made with the gym package from the farama foundation, this project is an hyper detailed version of the Q-Learning reinforcement on the Frozen lake's game.
the objective of this repository is the navigation of a Turtlebot3 based on RL (Q-learning) in which goals send in the form of sequences.
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