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keon / deep-q-learning

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

reinforcement-learning deep-learning deep-reinforcement-learning dqn deep-q-network ddqn

Updated May 18, 2026
Python

idreesshaikh / Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning

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Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

reinforcement-learning deep-learning deep-reinforcement-learning pytorch openai deep-learning-algorithms self-driving-car autonomous-driving self-driving ddqn self-driving-cars proximal-policy-optimization ppo carla-simulator carla-driving-simulator self-driving-car-simulation carla-environment

Updated Nov 13, 2025
Python

germain-hug / Deep-RL-Keras

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

reinforcement-learning keras openai dqn gym policy-gradient a3c ddpg ddqn keras-rl a2c d3qn dueling

Updated May 25, 2020
Python

dongminlee94 / deep_rl

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PyTorch implementation of deep reinforcement learning algorithms

deep-reinforcement-learning pytorch dqn ddpg sac npg ddqn trpo ppo a2c td3 model-free-rl vpg sac-aea

Updated Nov 19, 2021
Python

pythonlessons / Reinforcement_Learning

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Reinforcement learning tutorials

reinforcement-learning dqn policy-gradient a3c ddqn dueling-dqn ppo a2c lunarlander d3qn bipedalwalker ppo-agent actor-critic-algorythm

Updated Mar 25, 2023
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.

deep-reinforcement-learning dqn mdp offloading deep-q-network markov-decision-processes resource-management performance-evaluation mec ddqn edge-computing lstm-networks network-optimization d3qn

Updated Apr 5, 2025
Python

gsurma / atari

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AI research environment for the Atari 2600 games 🤖.

python machine-learning reinforcement-learning ai ml space-invaders artificial-intelligence dqn gym breakout rl atari python2 ddqn q-l

Updated Aug 30, 2022
Python

Kyushik / DRL

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Repository for codes of 'Deep Reinforcement Learning'

tensorflow deep-reinforcement-learning pygame dqn icm rnd drl ddqn double-dqn prioritized-replay dueling-dqn deep-recurrent-q-network drqn prioritized-experience-replay noisynet-dqn

Updated Oct 4, 2019
Python

deepanshut041 / Reinforcement-Learning

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

reinforcement-learning monte-carlo atari2600 deep-reinforcement-learning pytorch dqn sarsa sonic-the-hedgehog vizdoom reinforce ddpg sac t3d actor-critic ddqn ppo a2c policy-gradients

Updated Mar 9, 2020
Jupyter Notebook

deligentfool / dqn_zoo

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The implement of all kinds of dqn reinforcement learning with Pytorch

pytorch dqn ddqn dueling-dqn iqn categorical-dqn soft-q-learning rainbow-dqn qr-dqn prioritized-dqn noisy-dqn n-step-dqn fqf distributional-dqn mmddqn

Updated Mar 25, 2021
Python

FelipeMarcelino / 2048-Gym

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

machine-learning reinforcement-learning openai-gym artificial-intelligence 2048 ddqn gym-environment

Updated Nov 21, 2022
Python

fschur / DDQN-with-PyTorch-for-OpenAI-Gym

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

reinforcement-learning deep-learning openai-gym pytorch dqn gym cartpole ddqn

Updated Jul 18, 2026
Python

jihoonerd / Deep-Reinforcement-Learning-with-Double-Q-learning

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

reinforcement-learning deep-learning dqn atari deepmind ddqn tensorflow2

Updated May 9, 2024
Python

itaicaspi / keras-dqn-doom

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Keras implementation of DQN on ViZDoom environment

keras deep-reinforcement-learning dqn vizdoom ddqn

Updated Oct 16, 2016
Python

Rahul-Choudhary-3614 / Deep-Reinforcement-Learning-Notebooks

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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.