A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
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Updated
Dec 7, 2024 - Python
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing
A Torch Based RL Framework for Rapid Prototyping of Research Papers
My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.
Reinforcement learning algorithms implemented to learn to play Super Mario Bros.
Lunar Lander envitoment of gymnasium solved using Double DQN and D3QN
Generative Adversial Imitation Learning (GAIL) an inverse reinforcement learning algorithm
This project uses Deep Reinforcement Learning to solve the Lunar Lander environment of the OpenAI-Gym
Exercises and projects from Udacity's Nanodegree
Reinforcement learning algorithms and solved gym environments.
This is a Deep Reinforcement Learning solution for the Lunar Lander problem in OpenAI Gym using dueling network architecture and the double DQN algorithm.
Various Deep RL models applied to Super Mario Bros
Reinforcement learning agent that solves a 2x2 Rubik's cube
Deep Reinforcement Learning with Custom Environment
Yet another deep reinforcement learning
Develop an AI player of Atari Skiing with deep reinforcement learning
Reinforcement learning algorithms in poker games
Deep Q-Learning algorithms to solve LunarLander-v2.
Snake Game solved using Dueling DQN and Dueling Double DQN
Basic code for reinforcement learning and small programs.
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