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Found 11 papers, 10 papers with code
Shapley Q-value: A Local Reward Approach to Solve Global Reward Games
To deal with this problem, we i) introduce a cooperative-game theoretical framework called extended convex game (ECG) that is a superset of global reward game, and ii) propose a local reward approach called Shapley Q-value.
Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System
We test HDNO on MultiWoz 2. 0 and MultiWoz 2. 1, the datasets on multi-domain dialogues, in comparison with word-level E2E model trained with RL, LaRL and HDSA, showing improvements on the performance evaluated by automatic evaluation metrics and human evaluation.
Hierarchical Reinforcement Learning
reinforcement-learning
+2
Participation Analysis in Impedance Models: The Grey-Box Approach for Power System Stability
This paper develops a grey-box approach to small-signal stability analysis of complex power systems that facilitates root-cause tracing without requiring disclosure of the full details of the internal control structure of apparatus connected to the system.
The Intrinsic Communication in Power Systems: A New Perspective to Understand Synchronization Stability
Based on this isomorphism, we revisit power system synchronization stability from a communication perspective and thereby establish a theory that unifies the synchronization dynamics of heterogeneous power apparatuses.
Mapping of Dynamics between Mechanical and Electrical Ports in SG-IBR Composite Grids
The SG-dominated grid is traditionally analyzed in a mechanical-centric view which ignores fast electrical dynamics and focuses on the torque-speed dynamics.
Revisiting Grid-Forming and Grid-Following Inverters: A Duality Theory
Power electronic converters for integrating renewable energy resources into power systems can be divided into grid-forming and grid-following inverters.
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
This paper studies a theoretical framework for value factorisation with interpretability via Shapley value theory.
Dual Synchronous Generator: Inertial Current Source based Grid-Forming Solution for VSC
Based on dual synchronous idea, a dual synchronous generator (DSG) control is applied in VSC to form inertial current source.
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks
This paper presents a problem in power networks that creates an exciting and yet challenging real-world scenario for application of multi-agent reinforcement learning (MARL).
Multi-agent Reinforcement Learning
reinforcement-learning
+1
Impedance-based Root-cause Analysis: Comparative Study of Impedance Models and Calculation of Eigenvalue Sensitivity
Impedance models of power systems are useful when state-space models of apparatus such as inverter-based resources (IBRs) have not been made available and instead only black-box impedance models are available.
Whole-System First-Swing Stability of Inverter-Based Inertia-Free Power Systems
The emphasis on inertia for system stability has been a long-held tradition in conventional grids.
