Solving CartPole using Distributional RL
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Updated
Feb 10, 2021 - Jupyter Notebook
Solving CartPole using Distributional RL
Deliverables relating to the Reinforcement Learning University Unit
Implement several deep reinforcement learning algorithms on one of games in Atari 2600 - Space Invaders.
A reinforcement learning framework for the game of Nim.
Reinforcement Learning: Modification of Q-learning through the use DynaQ learning and Double-Q learning.
This repository contains all of the Reinforcement Learning-related projects I've worked on. The projects are part of the graduate course at the University of Tehran.
Python script to balance Pendulum from open ai gym using Q-Learning and Double Q-Learning
With underflow, create trafic light clusters that interact together to regulate circulation
Understanding several problems in RL and understanding how to solve those issues.
Reinforcement learning algorithms
Pytorch implementation of Randomized Ensembled Double Q-learning (REDQ)
Slide presentation reviewing advances in reinforcement learning
This repository is a fork of a repository originally created by Lucas Descause. It is the codebase used for my Master's dissertation "Reinforcement Learning with Function Approximation in Continuing Tasks: Discounted Return or Average Reward?" which was also an extension of Luca's work.
Use SARSA, Q learning, double Q and QV to solve a maze with Reinforcement Learning
A very detailed project of Chrome Dinosaur in Deep RL for beginners
Solver of the game “Coin Flip Cheaters” which can be found on https://primerlearning.org/. This is not a bot, in order to use it in the real game you would need to do it manually.
Reversi game with multiple reinforcement learning algorithms.
Environment-related differences of Deep Q-Learning and Deep Double Q-Learning
Reinforcement Learning experiments, comparing performance of Q-learning and Double Q-learning algorithms.
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