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ddqn

Here are 167 public repositories matching this topic...

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

  • UpdatedDec 4, 2020
  • Python

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

  • UpdatedMay 25, 2020
  • Python

PyTorch implementation of deep reinforcement learning algorithms

  • UpdatedNov 19, 2021
  • Python
atari

AI research environment for the Atari 2600 games 🤖.

  • UpdatedAug 30, 2022
  • Python

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating the Dueling Double Deep Q-Network (D3QN) model with Long Short-Term Memory (LSTM) networks.

  • UpdatedJan 3, 2025
  • Python

Implementations of Deep Reinforcement Learning Algorithms and Bench-marking with PyTorch

  • UpdatedMar 9, 2020
  • Jupyter Notebook

The implement of all kinds of dqn reinforcement learning with Pytorch

  • UpdatedMar 25, 2021
  • Python

This projects aims to use reinforcement learning algorithms to play the game 2048.

  • UpdatedNov 21, 2022
  • Python

Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.

  • UpdatedJul 25, 2024
  • Python

Keras implementation of DQN on ViZDoom environment

  • UpdatedOct 16, 2016
  • Python

📖 Paper: Deep Reinforcement Learning with Double Q-learning 🕹️

  • UpdatedMay 9, 2024
  • Python

This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

  • UpdatedApr 24, 2021
  • Jupyter Notebook

Snake game with neural network AI model

  • UpdatedNov 17, 2022
  • Rust

My reproduction of various reinforcement learning algorithms (DQN variants, A3C, DPPO, RND with PPO) in Tensorflow.

  • UpdatedMar 24, 2023
  • Jupyter Notebook

Using pytorch to implement DQN / DDQN / Atari DDQN

  • UpdatedAug 30, 2018
  • Python

Parallel training on multiple Deep RL agents with Federated Learning approach to gain higher rewards

  • UpdatedSep 1, 2022
  • Python

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