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Multi-Agent Reinforcement Learning for Order Assignment and Payment Setting on Food-Delivery Platforms: The Implicit Algorithmic Biases
This paper examines discriminatory order-assignment and payment-setting strategies for on-demand food-delivery platforms. We consider a …
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Multi-Agent Reinforcement Learning for Order Assignment and Payment Setting on Food-Delivery Platforms: The Implicit Algorithmic Biases
Does MMD Really Align? A Cross Domain Wireless Sensing Method via Local Distribution
In wireless sensing, Channel State Information (CSI) is commonly used for detecting human behavior, but its sensitivity to …
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Does MMD Really Align? A Cross Domain Wireless Sensing Method via Local Distribution
Let Network Decide What to Learn: Symbolic Music Understanding Model Based on Large-scale Adversarial Pre-training
As a crucial aspect of Music Information Retrieval (MIR), Symbolic Music Understanding (SMU) has garnered significant attention for its …
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Let Network Decide What to Learn: Symbolic Music Understanding Model Based on Large-scale Adversarial Pre-training
Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving
Large language models (LLMs) have shown promising first-order logic (FOL) reasoning capabilities with applications in various areas. …
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Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving
PianoBART: Symbolic Piano Music Generation and Understanding with Large-Scale Pre-Training (Oral)
Learning musical structures and composition patterns is necessary for both music generation and understanding, but current methods do …
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PianoBART: Symbolic Piano Music Generation and Understanding with Large-Scale Pre-Training (Oral)
Finding the Missing Data: A BERT-Inspired Approach Against Package Loss in Wireless Sensing
Despite the development of various deep learning methods for Wi-Fi sensing, package loss often results in noncontinuous estimation of …
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Finding the Missing Data: A BERT-Inspired Approach Against Package Loss in Wireless Sensing
Autonomous Locomotion of a Rat Robot Based on Model-Free Reinforcement Learning
The rat robot is a soft compact quadrupedal robotwith the same size as real rats. It is difficult for such robots to learn effective …
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Autonomous Locomotion of a Rat Robot Based on Model-Free Reinforcement Learning
Adaptive Quadruped Locomotion of a Rat Robot Based on a Hierarchical Reinforcement Learning Framework (2023 IEEE ROBIO Best Paper Award in Biomimetics Finalist)
Small robots encounter considerable difficulties in learning effective motions on complex terrains owing to their underactuated nature …
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Adaptive Quadruped Locomotion of a Rat Robot Based on a Hierarchical Reinforcement Learning Framework (2023 IEEE ROBIO Best Paper Award in Biomimetics Finalist)
Autonomous Locomotion of a Rat Robot Based on Reinforcement Learning
The rat robot is a soft compact quadrupedal robot with the same size as real rats. It is difficult for such robots to learn effective …
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Autonomous Locomotion of a Rat Robot Based on Reinforcement Learning