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08/05/2023
Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket
Graph Lottery Ticket (GLT), a combination of core subgraph and sparse su...
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06/15/2023
Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation
Human mobility patterns have shown significant applications in policy-de...
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06/14/2023
Curricular Subgoals for Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) aims to reconstruct the reward func...
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06/13/2023
Lookaround Optimizer: k steps around, 1 step average
Weight Average (WA) is an active research topic due to its simplicity in...
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06/03/2023
Message-passing selection: Towards interpretable GNNs for graph classification
In this paper, we strive to develop an interpretable GNNs' inference par...
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05/31/2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization
Graph Neural Networks (GNNs) have emerged as a powerful category of lear...
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05/27/2023
Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?
Centralized Training with Decentralized Execution (CTDE) has recently em...
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11/23/2022
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
Value Decomposition (VD) aims to deduce the contributions of agents for ...
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11/12/2022
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges
Reinforcement Learning (RL) is a popular machine learning paradigm where...
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07/08/2022
Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
Deep cooperative multi-agent reinforcement learning has demonstrated its...
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07/05/2022
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework
Despite the promising results achieved, state-of-the-art interactive rei...
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05/12/2022
Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System
The real-time transient stability assessment (TSA) plays a critical role...
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12/16/2021
Imbalanced Sample Generation and Evaluation for Power System Transient Stability Using CTGAN
Although deep learning has achieved impressive advances in transient sta...
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09/29/2021