Oracles & followers: Stackelberg equilibria in deep multi-agent reinforcement learning
M Gerstgrasser, DC Parkes - International Conference on …, 2023 - proceedings.mlr.press
Stackelberg equilibria arise naturally in a range of popular learning problems, such as in
security games or indirect mechanism design, and have received increasing attention in the …
security games or indirect mechanism design, and have received increasing attention in the …
Blockchain-empowered resource allocation in Multi-UAV-enabled 5G-RAN: a multi-agent deep reinforcement learning approach
In 5G and B5G networks, real-time and secure resource allocation with the common telecom
infrastructure is challenging. This problem may be more severe when mobile users are …
infrastructure is challenging. This problem may be more severe when mobile users are …
Coordinating followers to reach better equilibria: End-to-end gradient descent for stackelberg games
A growing body of work in game theory extends the traditional Stackelberg game to settings
with one leader and multiple followers who play a Nash equilibrium. Standard approaches …
with one leader and multiple followers who play a Nash equilibrium. Standard approaches …
Dynamic pricing optimization for commercial subcontracting power suppliers engaging demand response considering building virtual energy storage
H Huang, Y Ning, Y Jiang, Z Tang, Y Qian… - Frontiers in Energy …, 2024 - frontiersin.org
Commercial buildings have abundant flexible energy resources for demand response (DR).
The electricity price for tenants in the commercial building is generally issued by a …
The electricity price for tenants in the commercial building is generally issued by a …
Navigating in a space of game views
MP Wellman, K Mayo - Autonomous Agents and Multi-Agent Systems, 2024 - Springer
Game-theoretic modeling entails selecting the particular elements of a complex strategic
situation deemed most salient for strategic analysis. Recognizing that any game model is …
situation deemed most salient for strategic analysis. Recognizing that any game model is …
The Synergetic Effect in the Management of Active System with Distributed Control
S Chernov, L Chernova, L Chernova… - 2023 IEEE 18th …, 2023 - ieeexplore.ieee.org
The synergetic reasonability of joining the efforts of the centers of competence in the
management of certain object participating in the game has been proved based on a theory …
management of certain object participating in the game has been proved based on a theory …
Integrating Machine Learning and Optimization with Applications in Public Health and Sustainability
K Wang - 2023 - search.proquest.com
The field of artificial intelligence (AI) has garnered increasing attention in the realms of
public health and conservation due to its potential to characterize complex dynamics and …
public health and conservation due to its potential to characterize complex dynamics and …
[图书][B] Learning and Decision-Making in Competitive and Uncertain Systems
T Fiez - 2021 - search.proquest.com
As a result of the demonstrated potential for impact in traditional use cases, progressively
more is being asked of machine learning methods. This evolution has lead to a renewed …
more is being asked of machine learning methods. This evolution has lead to a renewed …
[PDF][PDF] Incentives for Individual Compliance with Pandemic Response Measures
The current coronavirus pandemic is pushing individuals, businesses and governments to
the limit. Even with the recently emerged hope of rapidly developed vaccines, people still …
the limit. Even with the recently emerged hope of rapidly developed vaccines, people still …
A Game-Theoretic Approach for Hierarchical Epidemic Control
We design and analyze a multi-level game-theoretic model of hierarchical policy
interventions for epidemic control, such as those in response to the COVID-19 pandemic …
interventions for epidemic control, such as those in response to the COVID-19 pandemic …