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
Two intelligent agents (cat and mouse) compete with each other to achieve their goal. Agents are trained through reinforcement learning (Q-learning).
The implementation for the paper Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis // NeurIPS 2022
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.
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.
Docking robot in a grid environment trained it with Q-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.
SUTD 50.021 Artificial Intelligence Project - Wordle Solver using Reinforcement Learning
A Streamlit application demonstrating Reinforcement Learning (RL) for intelligent product recommendations in online advertising. Explore different RL algorithms and their impact on personalization.
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.
A reinforcement learning approach for the dynamic pricing of perishable products
This is a maze solving game which uses Q-learning algorithm to optimise and reach its destination
A collection of automated trading bots built with Python, including pair trading, Q-learning, and DQN strategies.
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