Multi-agent Reinforcement Learning

Paper Group ANR 31

Paper Group ANR 31

April 3, 2020

Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward. RePAD: Real-time Proactive Anomaly Detection for Time Series. Better Boosting with Bandits for Online Learning. Dynamic ReLU. Accurately identifying vertebral levels in large datasets. Turning 30: New Ideas in Inductive Logic Programming. TGGLines: A Robust To …
Paper Group AWR 47

Paper Group AWR 47

April 3, 2020

Margin Maximization as Lossless Maximal Compression. Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging. Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks. Learning from Positive and Unlabeled Data with Arbitrary Positive Shift. Global Context-Aware Progressive Aggre …
Paper Group AWR 74

Paper Group AWR 74

April 3, 2020

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud. Statistical power for cluster analysis. Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. Synonymous Generalization in Sequence-to-Sequence Recurrent Networks. CRYSPNet: Crystal Structure Predictions via Neural Network. NYTWIT: A Dataset o …
Paper Group AWR 75

Paper Group AWR 75

April 3, 2020

Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning. Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. Good Feature Matching: Towards Accurate, Robust VO/VSLAM with Low Latency. Unbiased Scene Graph Generation from Biased Training. MagNet: Discovering Multi-agen …
Paper Group AWR 9

Paper Group AWR 9

April 3, 2020

Blue River Controls: A toolkit for Reinforcement Learning Control Systems on Hardware. Seshat: A tool for managing and verifying annotation campaigns of audio data. S$^{2}$OMGAN: Shortcut from Remote Sensing Images to Online Maps. Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods. Artificial Benchmark for …
Paper Group ANR 119

Paper Group ANR 119

April 2, 2020

Annotating and Extracting Synthesis Process of All-Solid-State Batteries from Scientific Literature. Options of Interest: Temporal Abstraction with Interest Functions. Self-Constructing Graph Convolutional Networks for Semantic Labeling. Inducing Cooperative behaviour in Sequential-Social dilemmas through Multi-Agent Reinforcement Learning using St …
Paper Group ANR 126

Paper Group ANR 126

April 2, 2020

Spike-Timing-Dependent Inference of Synaptic Weights. Circle Loss: A Unified Perspective of Pair Similarity Optimization. Insertion-Deletion Transformer. On Solving Cooperative MARL Problems with a Few Good Experiences. Best-item Learning in Random Utility Models with Subset Choices. Fake Review Detection Using Behavioral and Contextual Features. T …
Paper Group ANR 203

Paper Group ANR 203

April 2, 2020

EmpTransfo: A Multi-head Transformer Architecture for Creating Empathetic Dialog Systems. Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies. Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning. Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks. Long-tail Visual …
Paper Group ANR 204

Paper Group ANR 204

April 2, 2020

Learning Memory-guided Normality for Anomaly Detection. LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units. Online Semantic Exploration of Indoor Maps. A Unifying Network Architecture for Semi-Structured Deep Distributional Learning. Reward Design for Driver Repositioning Using Multi …
Paper Group ANR 205

Paper Group ANR 205

April 2, 2020

Q-Learning for Mean-Field Controls. Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems. Learning Cost Functions for Optimal Transport. Cognitive Anthropomorphism of AI: How Humans and Computers Classify Images. An Empirical Investigation of Pre-Trained Transformer Language Models for Open-Domain Dialogue Generatio …
Paper Group ANR 206

Paper Group ANR 206

April 2, 2020

ExEm: Expert Embedding using dominating set theory with deep learning approaches. Classifying Images with Few Spikes per Neuron. Image Inpainting by Multiscale Spline Interpolation. Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach. Robust Q-learning. Disentangling Adaptive Gradient Methods from Le …
Paper Group ANR 266

Paper Group ANR 266

April 2, 2020

Scheduling in Cellular Federated Edge Learning with Importance and Channel Awareness. A Corrective View of Neural Networks: Representation, Memorization and Learning. Entity Extraction from Wikipedia List Pages. Review and Prospect: Deep Learning in Nuclear Magnetic Resonance Spectroscopy. A survey on Semi-, Self- and Unsupervised Techniques in Ima …
Paper Group ANR 341

Paper Group ANR 341

April 2, 2020

Learning 3D Part Assembly from a Single Image. Iterative Data Programming for Expanding Text Classification Corpora. Identifying Notable News Stories. Deep Learning Enabled Uncorrelated Space Observation Association. Distributed Stochastic Algorithms for High-rate Streaming Principal Component Analysis. ScrabbleGAN: Semi-Supervised Varying Length H …
Paper Group ANR 342

Paper Group ANR 342

April 2, 2020

Studying the Effects of Cognitive Biases in Evaluation of Conversational Agents. Connectivity-driven Communication in Multi-agent Reinforcement Learning through Diffusion Processes on Graphs. Transformer on a Diet. Rnn-transducer with language bias for end-to-end Mandarin-English code-switching speech recognition. Identification of Indian Languages …
Paper Group ANR 362

Paper Group ANR 362

April 2, 2020

Nonparametric inference for interventional effects with multiple mediators. An Evolutionary Deep Learning Method for Short-term Wind Speed Prediction: A Case Study of the Lillgrund Offshore Wind Farm. On the performance of deep learning models for time series classification in streaming. Forecasting Sequential Data using Consistent Koopman Autoenco …
Paper Group ANR 431

Paper Group ANR 431

April 1, 2020

Out-of-Distribution Detection with Distance Guarantee in Deep Generative Models. “Other-Play” for Zero-Shot Coordination. Visual-Inertial Telepresence for Aerial Manipulation. Camera-Based Adaptive Trajectory Guidance via Neural Networks. A Comprehensive Survey on the Ambulance Routing and Location Problems. Automatic detection and counting of reti …
Paper Group ANR 443

Paper Group ANR 443

April 1, 2020

COPT: Coordinated Optimal Transport on Graphs. Microvascular Dynamics from 4D Microscopy Using Temporal Segmentation. TopRank+: A Refinement of TopRank Algorithm. Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors. Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping. SOM- …
Paper Group ANR 446

Paper Group ANR 446

April 1, 2020

Fast Lidar Clustering by Density and Connectivity. Globally Optimal Contrast Maximisation for Event-based Motion Estimation. Self-Adversarial Learning with Comparative Discrimination for Text Generation. Active Lighting Recurrence by Parallel Lighting Analogy for Fine-Grained Change Detection. Self-Supervised Object-Level Deep Reinforcement Learnin …
Paper Group ANR 447

Paper Group ANR 447

April 1, 2020

Depth Completion using a View Constrained Deep Prior. Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control. End-to-End Models for the Analysis of Pupil Size Variations and Diagnosis of Parkinson’s Disease. Amplifying The Uncanny. Multi-View Photometric Stereo: A Robust Solution and Benchmark Dataset for Spatially …
Paper Group ANR 448

Paper Group ANR 448

April 1, 2020

A Hybrid Model-based and Data-driven Approach to Spectrum Sharing in mmWave Cellular Networks. Translating Diffusion, Wavelets, and Regularisation into Residual Networks. Generalized Hidden Parameter MDPs Transferable Model-based RL in a Handful of Trials. Handling the Positive-Definite Constraint in the Bayesian Learning Rule. A Tutorial on Learni …
Paper Group ANR 454

Paper Group ANR 454

April 1, 2020

Bi-Decoder Augmented Network for Neural Machine Translation. A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation. Latent Patient Network Learning for Automatic Diagnosis. Regret Bounds for Noise-Free Bayesian Optimization. Deep Unsupervised Common Representation Learning for LiDAR and Camera Data using Double Siamese Networks. D …
Paper Group ANR 458

Paper Group ANR 458

April 1, 2020

On the regularity and conditioning of low rank semidefinite programs. Finiteness of fibers in matrix completion via Plücker coordinates. Optimal Adaptive Matrix Completion. Convolutional Hierarchical Attention Network for Query-Focused Video Summarization. High Performance Sequence-to-Sequence Model for Streaming Speech Recognition. Style Transfer …
Paper Group ANR 459

Paper Group ANR 459

April 1, 2020

Deep Frequent Spatial Temporal Learning for Face Anti-Spoofing. On the Robustness of Cooperative Multi-Agent Reinforcement Learning. Safe Crossover of Neural Networks Through Neuron Alignment. Experimental Analysis of Reinforcement Learning Techniques for Spectrum Sharing Radar. Estimation for Compositional Data using Measurements from Nonlinear Sy …
Paper Group ANR 474

Paper Group ANR 474

April 1, 2020

Deep Markov Spatio-Temporal Factorization. Machine learning on DNA-encoded libraries: A new paradigm for hit-finding. CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting. Scaling MAP-Elites to Deep Neuroevolution. Convolutional Neural Network Pruning Using Filter Attenuation. Multi …
Paper Group ANR 484

Paper Group ANR 484

April 1, 2020

Learning Occupational Task-Shares Dynamics for the Future of Work. Towards information-rich, logical text generation with knowledge-enhanced neural models. Evaluating image matching methods for book cover identification. Graphs, Convolutions, and Neural Networks. Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games. A Hybrid Stochast …
Paper Group NANR 106

Paper Group NANR 106

April 1, 2020

Rethinking the Security of Skip Connections in ResNet-like Neural Networks. Fully Polynomial-Time Randomized Approximation Schemes for Global Optimization of High-Dimensional Folded Concave Penalized Generalized Linear Models. Batch-shaping for learning conditional channel gated networks. Instant Quantization of Neural Networks using Monte Carlo Me …
Paper Group NANR 111

Paper Group NANR 111

April 1, 2020

Natural- to formal-language generation using Tensor Product Representations. Towards trustworthy predictions from deep neural networks with fast adversarial calibration. Deep Randomized Least Squares Value Iteration. Language-independent Cross-lingual Contextual Representations. Safe Policy Learning for Continuous Control. Lattice Representation Le …
Paper Group NANR 112

Paper Group NANR 112

April 1, 2020

TSInsight: A local-global attribution framework for interpretability in time-series data. Connecting the Dots Between MLE and RL for Sequence Prediction. Quantum Semi-Supervised Kernel Learning. Meta-Graph: Few shot Link Prediction via Meta Learning. Learning transitional skills with intrinsic motivation. Distilling the Knowledge of BERT for Text G …