deep-q-network

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Here are 259 public repositories matching this topic...

MorvanZhou / Reinforcement-learning-with-tensorflow

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Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Updated Mar 31, 2024
Python

MorvanZhou / Tensorflow-Tutorial

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Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

machine-learning tutorial neural-network tensorflow regression cnn dropout generative-adversarial-network gan dqn classification rnn autoencoder tensorflow-tutorials deep-q-network

Updated Oct 31, 2020
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rlcode / reinforcement-learning

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Minimal and Clean Reinforcement Learning Examples

machine-learning reinforcement-learning deep-learning deep-reinforcement-learning dqn policy-gradient a3c deep-q-network actor-critic

Updated Mar 24, 2023
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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 Dec 4, 2020
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samre12 / deep-trading-agent

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Deep Reinforcement Learning based Trading Agent for Bitcoin

agent bitcoin trading deep-reinforcement-learning recurrent-neural-networks artificial-intelligence deep-q-network deep-sense

Updated Jun 7, 2018
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chris-chris / pysc2-examples

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StarCraft II - pysc2 Deep Reinforcement Learning Examples

machine-learning reinforcement-learning ai deep-reinforcement-learning deepmind deep-q-network startcraft2

Updated Mar 3, 2021
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fangvv / UAV-DDPG

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Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

reinforcement-learning deep-learning uav tensorflow dqn reinforcement-learning-algorithms drones deep-q-network ddpg drl deep-deterministic-policy-gradient computation-offloading unmanned-aerial-vehicle actor-critic-algorithm reinforcementlearning rl-algorithms maddpg mobile-edge-computing

Updated Nov 19, 2025
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ChenglongChen / pytorch-DRL

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PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

reinforcement-learning deep-reinforcement-learning pytorch multi-agent dqn rl deep-q-network ddpg drl actor-critic deep-deterministic-policy-gradient proximal-policy-optimization ppo advantage-actor-critic a2c acktr madrl

Updated Nov 11, 2017
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MishaLaskin / curl

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CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

Updated Oct 28, 2020
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vietnh1009 / Flappy-bird-deep-Q-learning-pytorch

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Deep Q-learning for playing flappy bird game

reinforcement-learning pygame pytorch deep-q-network deep-q-learning

Updated Oct 7, 2021
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vietnh1009 / Tetris-deep-Q-learning-pytorch

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Deep Q-learning for playing tetris game

reinforcement-learning pytorch deep-q-network cv2 deep-q-learning

Updated Apr 3, 2023
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yukezhu / tensorflow-reinforce

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Implementations of Reinforcement Learning Models in Tensorflow

reinforcement-learning tensorflow deep-reinforcement-learning policy-gradient deep-q-network actor-critic

Updated Oct 31, 2017
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hungtuchen / pytorch-dqn

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Deep Q-Learning Network in pytorch (not actively maintained)

deep-reinforcement-learning pytorch deep-q-network

Updated Nov 1, 2017
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accel-brain / accel-brain-code

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The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation net…

reinforcement-learning deep-learning deep-reinforcement-learning q-learning lstm generative-adversarial-network semi-supervised-learning restricted-boltzmann-machine transfer-learning simulated-annealing deep-q-network automatic-summarization combinatorial-optimization quantum-monte-carlo auto-encoder quantum-annealing energy-based-model self-supervised-learning multi-agent-reinforcement-learning

Updated Dec 26, 2023
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ImanRHT / QECO

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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
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harveybc / gym-fx

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Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

python agent machine-learning reinforcement-learning timeseries deep-learning decentralized blockchain p2p openai-gym q-learning distributed forex evolutionary-algorithms machinelearning mql4 deep-q-network

Updated Feb 1, 2025
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gordicaleksa / pytorch-learn-reinforcement-learning

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A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.