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Deep auto-encoder neural networks in reinforcement learning

https://doi.org/10.1109/ijcnn.2010.5596468

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Survey on Deep Reinforcement Learning Protocol in VANET

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Co-attention Autoencoder for Reinforcement Learning in High-Dimensional Environments

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Wheel Center Detection From Point Cloud Based on Recurrent Neural Networks

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Information-Bottleneck-Based Behavior Representation Learning for Multi-Agent Reinforcement Learning

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Scene Graph Contrastive Learning for Embodied Navigation

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Network Intrusion Detection Based on Stacked Sparse Autoencoder and Binary Tree Ensemble Method

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Autonomous underwater vehicles (AUVs) path planning based on Deep Reinforcement Learning

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Deep Learning based Image Classification using Auto-encoders

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A Novel Approach Web Services Based Long Tail Web Services Using Deep Neural Network

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Recognition Effects of Deep Convolutional Neural Network on Smudged Handwritten Digits

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An object recognition method based on deep learning

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Seeking Visual Discomfort: Curiosity-driven Representations for Reinforcement Learning

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Dexterous Manoeuvre through Touch in a Cluttered Scene

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Sample-Efficient Goal-Conditioned Reinforcement Learning via Predictive Information Bottleneck for Goal Representation Learning

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Comparison study of neural network and deep neural network on repricing GAP prediction in Indonesian conventional public bank

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Research on network intrusion detection based on Whitening PCA and CNN

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Puzzle Progression Game Using Reinforcement Learning

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A Virtual Character Learns to Defend Himself in Sword Fighting Based on Q-Network

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Historical Best Q-Networks for Deep Reinforcement Learning

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Comparison of the effects dimensionalty methods in the training of neuro-fuzzy (ANFIS) classifications

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Modular deep belief networks that do not forget

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Autonomous reinforcement learning on raw visual input data in a real world application

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Deep process neural network for temporal deep learning

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Dynamic boosting in deep learning using reconstruction error

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Improving deep neural network ensembles using reconstruction error

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Faster reinforcement learning after pretraining deep networks to predict state dynamics

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Neural Field: Supervised apportioned incremental learning (SAIL)

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Convolutional fitted Q iteration for vision-based control problems

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Learning of binocular fixations using anomaly detection with deep reinforcement learning

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Towards enabling deep learning techniques for adaptive dynamic programming

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Cognitive Architecture for Video Games

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Exploring Autoencoders for Feature Extraction in Multi-Target Classification

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Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision

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FoLaR: Foggy Latent Representations for Reinforcement Learning with Partial Observability

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UGTransformer: Unsupervised Graph Transformer Representation Learning

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Mix-up Consistent Cross Representations for Data-Efficient Reinforcement Learning

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EncodedRL: Solving the Dynamic Scheduling Problem using Multi-Agent Reinforcement Learning Based on an Encoded State Representation

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Goal-driven dimensionality reduction for reinforcement learning

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An Efficient Deep Reinforcement Learning Framework for UAVs

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A distributed, collective intelligence framework for collision-free navigation through busy intersections

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Traffic signal timing via deep reinforcement learning

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Location-Based Real-Time Updated Advising Method for Traffic Signal Control

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Fault Diagnosis of Rotating Machinery Based on Deep Reinforcement Learning and Reciprocal of Smoothness Index

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Toward Secure Transmission in Fog Internet of Things Using Intelligent Resource Allocation

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A Parallel Gaussian–Bernoulli Restricted Boltzmann Machine for Mining Area Classification With Hyperspectral Imagery

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An Aeromagnetic Compensation Algorithm Based on a Deep Autoencoder

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Learning Transformable and Plannable se(3) Features for Scene Imitation of a Mobile Service Robot

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Deep Koopman Operator With Control for Nonlinear Systems

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Unsupervised Representation Learning in Deep Reinforcement Learning: A Review

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Autonomous overtaking decision making of driverless bus based on deep Q-learning method

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Using Generative Adversarial Nets on Atari Games for Feature Extraction in Deep Reinforcement Learning

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Deep reinforcement learning with experience replay based on SARSA

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Towards Deep Developmental Learning

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Auxiliary Reward Generation With Transition Distance Representation Learning

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A Generative Model for Sparse Hyperparameter Determination

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Normalized Non-Negative Sparse Encoder for Fast Image Representation

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Cooperative Deep Reinforcement Learning for Large-Scale Traffic Grid Signal Control

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Anomaly Detection in Industrial Control Systems Based on Cross-Domain Representation Learning

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Deep and Structure-Preserving Autoencoders for Clustering Data With Missing Information

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