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07/17/2023
Robot motor learning shows emergence of frequency-modulated, robust swimming with an invariant Strouhal-number
Fish locomotion emerges from a diversity of interactions among deformabl...
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10/22/2022
Generative Prompt Tuning for Relation Classification
Using prompts to explore the knowledge contained within pre-trained lang...
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09/22/2022
Inverted Landing in a Small Aerial Robot via Deep Reinforcement Learning for Triggering and Control of Rotational Maneuvers
Inverted landing in a rapid and robust manner is a challenging feat for ...
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05/30/2022
Analyzing Modality Robustness in Multimodal Sentiment Analysis
Building robust multimodal models are crucial for achieving reliable dep...
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05/04/2022
Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract)
Few-shot relation learning refers to infer facts for relations with a li...
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11/10/2021
Effects of Design and Hydrodynamic Parameters on Optimized Swimming for Simulated, Fish-inspired Robots
In this work we developed a mathematical model and a simulation platform...
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09/22/2021
FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning
Despite the success of neural dialogue systems in achieving high perform...
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09/12/2021
Encoding Distributional Soft Actor-Critic for Autonomous Driving in Multi-lane Scenarios
In this paper, we propose a new reinforcement learning (RL) algorithm, c...
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09/12/2021
Exploring Task Difficulty for Few-Shot Relation Extraction
Few-shot relation extraction (FSRE) focuses on recognizing novel relatio...
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05/24/2021
Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving
In this paper, we propose a new state representation method, called enco...
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05/20/2021
DPN-SENet:A self-attention mechanism neural network for detection and diagnosis of COVID-19 from chest x-ray images
Background and Objective: The new type of coronavirus is also called COV...
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04/01/2021
Integrating Subgraph-aware Relation and DirectionReasoning for Question Answering
Question Answering (QA) models over Knowledge Bases (KBs) are capable of...
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03/18/2021
Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence
Decision and control are two of the core functionalities of high-level a...
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03/14/2021
State-space aerodynamic model reveals high force control authority and predictability in flapping flight
Flying animals resort to fast, large-degree-of-freedom motion of flappin...
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02/23/2021
Recurrent Model Predictive Control
This paper proposes an off-line algorithm, called Recurrent Model Predic...
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02/23/2021
Mixed Policy Gradient
Reinforcement learning (RL) has great potential in sequential decision-m...
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02/28/2020
Mixed Reinforcement Learning with Additive Stochastic Uncertainty
Reinforcement learning (RL) methods often rely on massive exploration da...
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01/09/2020
Addressing Value Estimation Errors in Reinforcement Learning with a State-Action Return Distribution Function
In current reinforcement learning (RL) methods, function approximation e...
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12/23/2019
Direct and indirect reinforcement learning
Reinforcement learning (RL) algorithms have been successfully applied to...
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11/26/2019
Deep adaptive dynamic programming for nonaffine nonlinear optimal control problem with state constraints
This paper presents a constrained deep adaptive dynamic programming (CDA...
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09/11/2019
Generalized Policy Iteration for Optimal Control in Continuous Time
This paper proposes the Deep Generalized Policy Iteration (DGPI) algorit...
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06/06/2019
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks
As autonomous vehicles (AVs) need to interact with other road users, it ...
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05/07/2019
