Fish locomotion emerges from a diversity of interactions among deformabl...
Using prompts to explore the knowledge contained within pre-trained lang...
Inverted landing in a rapid and robust manner is a challenging feat for
...
Building robust multimodal models are crucial for achieving reliable
dep...
Few-shot relation learning refers to infer facts for relations with a li...
In this work we developed a mathematical model and a simulation platform...
Despite the success of neural dialogue systems in achieving high perform...
In this paper, we propose a new reinforcement learning (RL) algorithm, c...
Few-shot relation extraction (FSRE) focuses on recognizing novel relatio...
In this paper, we propose a new state representation method, called enco...
Background and Objective: The new type of coronavirus is also called
COV...
Question Answering (QA) models over Knowledge Bases (KBs) are capable of...
Decision and control are two of the core functionalities of high-level
a...
Flying animals resort to fast, large-degree-of-freedom motion of flappin...
This paper proposes an off-line algorithm, called Recurrent Model Predic...
Reinforcement learning (RL) has great potential in sequential
decision-m...
Reinforcement learning (RL) methods often rely on massive exploration da...
In current reinforcement learning (RL) methods, function approximation e...
Reinforcement learning (RL) algorithms have been successfully applied to...
This paper presents a constrained deep adaptive dynamic programming (CDA...
This paper proposes the Deep Generalized Policy Iteration (DGPI) algorit...
As autonomous vehicles (AVs) need to interact with other road users, it ...
The increasing momentum of service-oriented architecture has led to the
...