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08/02/2023
Factor Graph Neural Networks
In recent years, we have witnessed a surge of Graph Neural Networks (GNN...
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05/23/2023
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning
Natural language provides a natural interface for human communication, y...
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10/12/2022
Efficient Offline Policy Optimization with a Learned Model
MuZero Unplugged presents a promising approach for offline policy learni...
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10/01/2022
Differentiable Parsing and Visual Grounding of Verbal Instructions for Object Placement
Grounding spatial relations in natural language for object placing could...
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05/01/2022
None Class Ranking Loss for Document-Level Relation Extraction
Document-level relation extraction (RE) aims at extracting relations amo...
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03/17/2022
Graph Representation Learning with Individualization and Refinement
Graph Neural Networks (GNNs) have emerged as prominent models for repres...
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03/02/2022
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
The traveling salesman problem is a fundamental combinatorial optimizati...
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02/25/2022
Context-Hierarchy Inverse Reinforcement Learning
An inverse reinforcement learning (IRL) agent learns to act intelligentl...
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02/03/2022
ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search
A tree-based online search algorithm iteratively simulates trajectories ...
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07/05/2021
Ensemble and Auxiliary Tasks for Data-Efficient Deep Reinforcement Learning
Ensemble and auxiliary tasks are both well known to improve the performa...
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04/25/2021
Learning Latent Graph Dynamics for Deformable Object Manipulation
Manipulating deformable objects, such as cloth and ropes, is a long-stan...
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02/07/2021
State-Aware Variational Thompson Sampling for Deep Q-Networks
Thompson sampling is a well-known approach for balancing exploration and...
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12/10/2020
Factor Graph Molecule Network for Structure Elucidation
Designing a network to learn a molecule structure given its physical/che...
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10/19/2020
Neuralizing Efficient Higher-order Belief Propagation
Graph neural network models have been extensively used to learn node rep...
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08/06/2020
Contrastive Variational Model-Based Reinforcement Learning for Complex Observations
Deep model-based reinforcement learning (MBRL) has achieved great sample...
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06/12/2020
Effective Training Strategies for Deep Graph Neural Networks
Graph Neural Networks (GNNs) tend to suffer performance degradation as m...
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02/29/2020
Multiplicative Gaussian Particle Filter
We propose a new sampling-based approach for approximate inference in fi...
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02/23/2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations
Deep reinforcement learning is successful in decision making for sophist...
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11/22/2019
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition
We address the problem of Visual Relationship Detection (VRD) which aims...
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06/17/2019
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis produces a list of aspect terms and thei...
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06/03/2019
Factor Graph Neural Network
Most of the successful deep neural network architectures are structured,...
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05/30/2019
Particle Filter Recurrent Neural Networks
Recurrent neural networks (RNNs) have been extraordinarily successful fo...
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05/29/2019
LeTS-Drive: Driving in a Crowd by Learning from Tree Search
Autonomous driving in a crowded environment, e.g., a busy traffic inters...
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05/28/2019
Differentiable Algorithm Networks for Composable Robot Learning
This paper introduces the Differentiable Algorithm Network (DAN), a comp...
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12/11/2018
Guided Exploration of Human Intentions for Human-Robot Interaction
Robot understanding of human intentions is essential for fluid human-rob...
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09/03/2018
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification
We consider the cross-domain sentiment classification problem, where a s...
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07/17/2018
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation
We propose to take a novel approach to robot system design where each bu...
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06/12/2018
Exploiting Document Knowledge for Aspect-level Sentiment Classification
Attention-based long short-term memory (LSTM) networks have proven to be...
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05/30/2018
PORCA: Modeling and Planning for Autonomous Driving among Many Pedestrians
This paper presents a planning system for autonomous driving among many ...
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05/30/2018
Autonomous Driving among Many Pedestrians: Models and Algorithms
Driving among a dense crowd of pedestrians is a major challenge for auto...
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05/23/2018
Particle Filter Networks with Application to Visual Localization
Particle filtering is a powerful method for sequential state estimation ...
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05/23/2018
Particle Filter Networks: End-to-End Probabilistic Localization From Visual Observations
Particle filters sequentially approximate posterior distributions by sam...
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05/02/2018
Convolutional Sequence to Sequence Model for Human Dynamics
Human motion modeling is a classic problem in computer vision and graphi...
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02/17/2018
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty
Planning under uncertainty is critical for robust robot performance in u...
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10/16/2017
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
How can a delivery robot navigate reliably to a destination in a new off...
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03/20/2017
QMDP-Net: Deep Learning for Planning under Partial Observability
This paper introduces the QMDP-net, a neural network architecture for pl...
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12/06/2016
Factored Contextual Policy Search with Bayesian Optimization
Scarce data is a major challenge to scaling robot learning to truly comp...
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09/12/2016
DESPOT: Online POMDP Planning with Regularization
The partially observable Markov decision process (POMDP) provides a prin...
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03/30/2016
Robustness of Bayesian Pool-based Active Learning Against Prior Misspecification
We study the robustness of active learning (AL) algorithms against prior...
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02/16/2016
POMDP-lite for Robust Robot Planning under Uncertainty
The partially observable Markov decision process (POMDP) provides a prin...
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06/27/2012