The notebook contents implementation of solution of OpenAI gym Acrobot-v1 problem.
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Updated
Jun 11, 2024 - Python
The notebook contents implementation of solution of OpenAI gym Acrobot-v1 problem.
This project is a Double Deep Q learning Agent that learns to play the dice game Yahtzee
A collection of reinforcement learning algorithm implementations
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
This is a trained model of a Q Learning agent playing FrozenLake.
Focuses on Reinforcement Learning related concepts, use cases, and learning approaches
In questa repository una collezione di tutorial sulle basi del Reinforcement Learning, sviluppati in Python, interamente in italiano.
Implement a snake AI with deep Q learning using PyTorch
Библиотека для создания ИИ, написана ПОЛНОСТЬЮ с нуля
Robot navigation with Q learning
We investigate the (deep) Q-learning algorithm on different environments and measure the performance of our agents.
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
🌍💨 Explore the Windy Gridworld! An agent navigates a 10x7 grid facing wind challenges using Q-learning, SARSA, and Expected SARSA to find optimal paths. Visualize learning stability and compare algorithm performance with running averages and zoomed insights. 🚀📊
Welcome to AI-GameOptimization, a repository dedicated to exploring and implementing various optimization algorithms to solve complex games. This project initially focuses on solving the classic game Sokoban using the Q-learning algorithm, with plans to extend to genetic algorithms and other optimization techniques in the future.
Free Resources For Data Science created by Shubham Kumar
repo for learning reinforcement learning from scratch
Several RL-agents are tested on classical environments and benchmarked against their stable-baselines implementation.
Implementation of "Augmenting Decision with Hypothesis in Reinforcement Learning"
A deep reinforcement learning bot that plays tetris
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