Nando de Freitas, Marc Lanctot, Hado van Hasselt, Matteo Hessel, Tom Schaul, Ziyu Wang - 2015
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In recent years there have been many successes of using deep representations in reinforcement learning. Still, many of these applications use conventional architectures, such as convolutional networks, LSTMs, or auto-encoders. In this paper, we present a new neural network architecture for model-free reinforcement learning. Our dueling network represents two separate estimators: one for the state value function and one for the state-dependent action advantage function. The main benefit of this factoring is to generalize learning across actions without imposing any change to the underlying reinforcement learning algorithm. Our results show that this architecture leads to better policy evaluation in the presence of many similar-valued actions. Moreover, the dueling architecture enables our RL agent to outperform the state-of-the-art on the Atari 2600 domain.
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very easy implementation of dueling DQN in pytorch
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Line plot extraction using Reinforcement learning (Dueling DQN) using Keras
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Tensorflow Implementation for "Noisy network for exploration"
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AI learning from visual input using ViZDoom environment.
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Atari - Deep Reinforcement Learning algorithms in TensorFlow
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TensorFlow implementation of Deep RL (Reinforcement Learning) papers based on deep Q-learning (DQN)
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Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
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An RL agent that implements Dueling DDQN algorithm with Prioritized Experience Replay
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Chainer implementation of Double DQN + Dueling Network
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Implementation of a Dueling Double Deep Q-value Network with tensorflow
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Repository for codes of 'Deep Reinforcement Learning'
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Decoders for fault tolerant quantum computation via deepQ reinforcement learning
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Deep reinforcement learning in ViZDoom (using Tensorflow)
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Implementation for DQN, Double DQN, Dueling networks, A2C and REINFORCE for OpenAI gym environments
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Navigating a banana world using Dueling Double DQN network
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Deep Reinforcement Learning framework based on TensorFlow and OpenAI Gym
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TensorFlow implementation of Dueling Double Deep Q Network
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Reinforcement Learning agent using DDPG implementation for continuous control of the Reacher environment.
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Deep Reinforcement Learning for Keras.
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Rainbow: Combining Improvements in Deep Reinforcement Learning
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Reinforcement Learning
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Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras
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Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning
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AI vs Pong - Deep Reinforcement Learning
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Persistent advantage learning dueling double DQN for the Arcade Learning Environment
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TensorFlow implementation of Deep Reinforcement Learning papers
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[Review & Implementation]
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Repository related to projects for the Udacity Deep Reinforcement Learning Nano Degree
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banana navigation using deep learning DQN
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Highly modularized implementation of popular deep RL algorithms by PyTorch
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Deep Reinforcement Learning related works.
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Implementation of DQN for Super Mario Bros. 1-1
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This project contains our source code of reinforcement learning compettion on halite.io
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An experiment on using deep learning to play games
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Keras implementation of DQN on ViZDoom environment
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DuelDQN with Pytorch