Multi-agent Reinforcement Learning

Paper Group ANR 1176

January 27, 2020

Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning. Finite Depth and Width Corrections to the Neural Tangent Kernel. Hierarchical Multi-task Deep Neural Network Architecture for End-to-End Driving. Probing Representations Learned by Multimodal Recurrent and Transformer Models. PAC Guarantees for Cooperative Multi-A …

Paper Group ANR 1177

January 27, 2020

DeepFault: Fault Localization for Deep Neural Networks. Big-Data Clustering: K-Means or K-Indicators?. Handwritten Chinese Character Recognition by Convolutional Neural Network and Similarity Ranking. Autonomous Air Traffic Controller: A Deep Multi-Agent Reinforcement Learning Approach. vqSGD: Vector Quantized Stochastic Gradient Descent. Is Fast A …

Paper Group ANR 1199

January 27, 2020

SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead. Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience. An Image Based Visual Servo Approach with Deep Learning for Robotic Manipulation. Fingerprints: Fixed Length Representation via Deep Networks and Domain Knowledge. In …

Paper Group ANR 1210

January 27, 2020

Automatic 4D Facial Expression Recognition via Collaborative Cross-domain Dynamic Image Network. Mining Data from the Congressional Record. Wield: Systematic Reinforcement Learning With Progressive Randomization. A unified sparse optimization framework to learn parsimonious physics-informed models from data. An Unsupervised Character-Aware Neural A …

Paper Group ANR 1211

January 27, 2020

Incremental embedding for temporal networks. Quantum Graph Neural Networks. Modeling Latent Sentence Structure in Neural Machine Translation. A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network. Towards Scalable Gaussian Process Modeling. Continual learning: A comparative study on how to de …

Paper Group ANR 1245

January 27, 2020

HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning. Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms. Syntax-Infused Variational Autoencoder for Text Generation. Attention-Privileged Reinforcement Learning. Marker based Thermal-Inertial Localization for Aerial Robots in Obscurant Filled E …

Paper Group ANR 1248

January 27, 2020

Personalised novel and explainable matrix factorisation. C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization. Uncalibrated Deflectometry with a Mobile Device on Extended Specular Surfaces. Feature Fusion for Robust Patch Matching With Compact Binary Descriptors. Modeling Sensorimotor Coordination as Multi-Agent Reinforcement L …

Paper Group ANR 1260

January 27, 2020

RoboNet: Large-Scale Multi-Robot Learning. Robust Tensor Recovery with Fiber Outliers for Traffic Events. Probabilistic Successor Representations with Kalman Temporal Differences. A Heuristic Algorithm for the Fabric Spreading and Cutting Problem in Apparel Factories. Reluctant generalized additive modeling. Particle swarm optimization model to pre …

Paper Group ANR 1327

January 27, 2020

Viterbi Extraction tutorial with Hidden Markov Toolkit. Breaking the Spatio-Angular Trade-off for Light Field Super-Resolution via LSTM Modelling on Epipolar Plane Images. A Forest from the Trees: Generation through Neighborhoods. Selective prediction-set models with coverage guarantees. Escaping Saddle Points for Zeroth-order Nonconvex Optimizatio …

Paper Group ANR 1335

January 27, 2020

REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning. Full-stack Optimization for Accelerating CNNs with FPGA Validation. Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry. Deep Network for Capacitive ECG Denoising. Multi-agent Reinforcement Learning Embedded Game for the Optimization of Bui …

Paper Group ANR 1343

January 27, 2020

Efficient Structurally-Strengthened Generative Adversarial Network for MRI Reconstruction. Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system. Multi-Agent Deep Reinforcement Learning with Adaptive Policies. SocialIQA: Commonsense Reasoning about Social Interactions. GENN: Predicting Correlated Drug- …

Paper Group ANR 1384

January 26, 2020

SMIX($λ$): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning. Neural Network-based Equalizer by Utilizing Coding Gain in Advance. Capturing Evolution Genes for Time Series Data. Medical Concept Representation Learning from Claims Data and Application to Health Plan Payment Risk Adjustment. Inference of a Multi …

Paper Group ANR 1404

January 26, 2020

Adaptive Densely Connected Super-Resolution Reconstruction. To React or not to React: End-to-End Visual Pose Forecasting for Personalized Avatar during Dyadic Conversations. Beyond the Memory Wall: A Case for Memory-centric HPC System for Deep Learning. How to make a pizza: Learning a compositional layer-based GAN model. Learning Algebraic Structur …

Paper Group ANR 1422

January 26, 2020

Robust and fast generation of top and side grasps for unknown objects. Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning. Conflict Detection and Resolution in Table Top Scenarios for Human-Robot Interaction. A new operation mode for depth-focused high-sensitivity ToF range finding. Gabor Layers Enhance Network Robus …

Paper Group ANR 1447

January 26, 2020

SWift – A SignWriting editor to bridge between deaf world and e-learning. Improving Question Generation With to the Point Context. Active online learning in the binary perceptron problem. MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders. Redditors in Recovery: Text Mining Reddit to Investigate Transitions into Drug Addi …

Paper Group ANR 1469

January 26, 2020

Neural networks trained with WiFi traces to predict airport passenger behavior. Self-Supervised Learning of Video-Induced Visual Invariances. Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. Visual Analytics of Anomalous User Behaviors: A Survey. Hybrid system identification using switching density networks. In …

Paper Group ANR 1473

January 26, 2020

Advanced Deep Convolutional Neural Network Approaches for Digital Pathology Image Analysis: a comprehensive evaluation with different use cases. Multi-Agent Actor-Critic with Hierarchical Graph Attention Network. Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction. An Auto-ML Framework Based on GBDT for Lifelong Learning. Are w …

Paper Group ANR 1511

January 26, 2020

A Modern Retrospective on Probabilistic Numerics. Procrustes registration of two-dimensional statistical shape models without correspondences. Fine-grained lesion annotation in CT images with knowledge mined from radiology reports. Persistence Curves: A canonical framework for summarizing persistence diagrams. Visualizing Representational Dynamics …

Paper Group ANR 1540

January 26, 2020

A memory enhanced LSTM for modeling complex temporal dependencies. Adversarial Representation Learning for Text-to-Image Matching. Modelling Early User-Game Interactions for Joint Estimation of Survival Time and Churn Probability. Learning Discrepancy Models From Experimental Data. The Usage of Web Search for Software Engineering. How much do you p …

Paper Group ANR 1571

January 26, 2020

mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis. Learning Nonlinear Mixtures: Identifiability and Algorithm. A Hybrid Evolutionary System for Automated Artificial Neural Networks Generation and Simplification in Biomedical Applications. Real-time 3-D Mapping with Estimating Acoustic Materials. 2L-3W: 2-Level 3-Way Hardw …

Paper Group ANR 1600

January 26, 2020

Plant-wide fault and disturbance screening using combined transfer entropy and eigenvector centrality analysis. Self-supervised Deformation Modeling for Facial Expression Editing. Evaluating Empathy in Artificial Agents. Iterative Update and Unified Representation for Multi-Agent Reinforcement Learning. Meta-learning Pseudo-differential Operators w …

Paper Group ANR 1656

January 25, 2020

OCTNet: Trajectory Generation in New Environments from Past Experiences. MAMPS: Safe Multi-Agent Reinforcement Learning via Model Predictive Shielding. Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery. Simultaneous Contact, Gait and Motion Planning for Robust Multi- …

Paper Group ANR 1712

January 25, 2020

Towards Using Context-Dependent Symbols in CTC Without State-Tying Decision Trees. Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization. Unsupervised adulterated red-chili pepper content transformation for hyperspectral classification. Helping IT and OT Defenders Collaborate. Integrating Dict …

Paper Group ANR 1713

January 25, 2020

Multimodal Multitask Representation Learning for Pathology Biobank Metadata Prediction. Evolvability ES: Scalable and Direct Optimization of Evolvability. BUZz: BUffer Zones for defending adversarial examples in image classification. Computing Nonlinear Eigenfunctions via Gradient Flow Extinction. Compression and Localization in Reinforcement Learn …

Paper Group ANR 1714

January 25, 2020

Finite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation. Fair Distributions from Biased Samples: A Maximum Entropy Optimization Framework. A New Framework for Multi-Agent Reinforcement Learning – Centralized Training and Exploration with Decentralized Execution via Policy Distillation. Multi-Agent Re …

Paper Group ANR 1753

January 25, 2020

Exploiting Operation Importance for Differentiable Neural Architecture Search. Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors. Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing. Uncovering Download Fraud Activities in Mobile App Markets. Improving CAT Tools in the Translation Work …

Paper Group NANR 38

January 25, 2020

PCNN: Environment Adaptive Model Without Finetuning. A Single Attention-Based Combination of CNN and RNN for Relation Classification. Proceedings of the 3rd Workshop on Neural Generation and Translation. An adaptable task-oriented dialog system for stand-alone embedded devices. The Effectiveness of Pre-Trained Code Embeddings. M^3RL: Mind-aware Mul …

Paper Group NANR 59

January 25, 2020

Modelling Tibetan Verbal Morphology. CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization. Noisy Neural Language Modeling for Typing Prediction in BCI Communication. Investigating Political Herd Mentality: A Community Sentiment Based Approach. A Study of Latent Structured Prediction Approaches to Passage Reranking. Sentence Boundary Detectio …