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03/07/2023
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding
The main challenge in vision-and-language navigation (VLN) is how to und...
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03/01/2023
Renderable Neural Radiance Map for Visual Navigation
We propose a novel type of map for visual navigation, a renderable neura...
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01/26/2023
Efficient Trust Region-Based Safe Reinforcement Learning with Low-Bias Distributional Actor-Critic
To apply reinforcement learning (RL) to real-world applications, agents ...
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09/17/2022
Topological Semantic Graph Memory for Image-Goal Navigation
A novel framework is proposed to incrementally collect landmark-based gr...
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03/14/2022
Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations
We propose a dual-domain generative model to estimate a texture map from...
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09/23/2021
Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving
In this paper, we consider the problem of autonomous driving using imita...
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09/16/2021
Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities
Designing or learning an autonomous driving policy is undoubtedly a chal...
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12/16/2020
Visually Grounding Instruction for History-Dependent Manipulation
This paper emphasizes the importance of robot's ability to refer its tas...
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10/24/2020
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards
In this paper, we consider stochastic multi-armed bandits (MABs) with he...
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11/11/2019
Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music
This paper proposes a framework which is able to generate a sequence of ...
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09/11/2019
Deep Elastic Networks with Model Selection for Multi-Task Learning
In this work, we consider the problem of instance-wise dynamic network m...
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04/09/2019
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
Deep networks consume a large amount of memory by their nature. A natura...
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01/31/2019
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning
In this paper, we present a new class of Markov decision processes (MDPs...
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05/28/2018
Interactive Text2Pickup Network for Natural Language based Human-Robot Collaboration
In this paper, we propose the Interactive Text2Pickup (IT2P) network for...
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05/28/2018
Learning Instance-Aware Object Detection Using Determinantal Point Processes
Recent object detectors find instances while categorizing candidate regi...
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05/22/2018
Maximum Causal Tsallis Entropy Imitation Learning
In this paper, we propose a novel maximum causal Tsallis entropy (MCTE) ...
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03/22/2018
Deep Pose Consensus Networks
In this paper, we address the problem of estimating a 3D human pose from...
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01/12/2018
Generative Single Image Reflection Separation
Single image reflection separation is an ill-posed problem since two sce...
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12/11/2017
Learning Nested Sparse Structures in Deep Neural Networks
Recently, there have been increasing demands to construct compact deep a...
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10/15/2017
Text2Action: Generative Adversarial Synthesis from Language to Action
In this paper, we propose a generative model which learns the relationsh...
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09/19/2017
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning
In this paper, a sparse Markov decision process (MDP) with novel causal ...
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09/03/2017
Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling
In this paper, we propose an uncertainty-aware learning from demonstrati...
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03/31/2017