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08/13/2023
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition
Electroencephalography (EEG) is an objective tool for emotion recognitio...
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09/02/2022
Semi-Centralised Multi-Agent Reinforcement Learning with Policy-Embedded Training
Centralised training (CT) is the basis for many popular multi-agent rein...
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06/21/2022
Learning to Estimate and Refine Fluid Motion with Physical Dynamics
Extracting information on fluid motion directly from images is challengi...
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10/27/2021
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
This paper presents a problem in power networks that creates an exciting...
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03/16/2021
Learning to Shape Rewards using a Game of Switching Controls
Reward shaping (RS) is a powerful method in reinforcement learning (RL) ...
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07/11/2019
Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning
Cooperative game is a critical research area in multi-agent reinforcemen...
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07/11/2019
Shapley Q-value: A Local Reward Approach to Solve Global Reward Games
Cooperative game is a critical research area in multi-agent reinforcemen...
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08/27/2016