Reinforcement learning algorithms
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Updated
Sep 23, 2024 - Jupyter Notebook
Reinforcement learning algorithms
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
Reinforcement Learning: Modification of Q-learning through the use DynaQ learning and Double-Q learning.
Path Planning with Reinforcement Learning algorithms in an unknown environment
Deliverables relating to the Reinforcement Learning University Unit
Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".
Reversi game with multiple reinforcement learning algorithms.
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.
A very detailed project of Chrome Dinosaur in Deep RL for beginners
Python script to balance Pendulum from open ai gym using Q-Learning and Double Q-Learning
Reinforcement Learning experiments, comparing performance of Q-learning and Double Q-learning algorithms.
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.
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.
Slide presentation reviewing advances in reinforcement learning
Pytorch implementation of Randomized Ensembled Double Q-learning (REDQ)
Solving CartPole using Distributional RL
A Reinforcement Learning agent to perform overtaking action using Double DQN based CNNs which takes images as input built using TensorFlow.
Use SARSA, Q learning, double Q and QV to solve a maze with Reinforcement Learning
A reinforcement learning framework for the game of Nim.
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