Saved in:
| Main Authors: | Snow, Luke, Krishnamurthy, Vikram |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.01445 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-Agent Inverse Reinforcement Learning for Identifying Pareto-Efficient Coordination -- A Distributionally Robust Approach
by: Snow, Luke, et al.
Published: (2025)
by: Snow, Luke, et al.
Published: (2025)
Distributionally Robust Inverse Reinforcement Learning for Identifying Multi-Agent Coordinated Sensing
by: Snow, Luke, et al.
Published: (2024)
by: Snow, Luke, et al.
Published: (2024)
Malliavin Calculus with Weak Derivatives for Counterfactual Stochastic Optimization
by: Krishnamurthy, Vikram, et al.
Published: (2025)
by: Krishnamurthy, Vikram, et al.
Published: (2025)
Interacting Large Language Model Agents. Interpretable Models and Social Learning
by: Jain, Adit, et al.
Published: (2024)
by: Jain, Adit, et al.
Published: (2024)
Malliavin Calculus for Counterfactual Gradient Estimation in Adaptive Inverse Reinforcement Learning
by: Krishnamurthy, Vikram, et al.
Published: (2026)
by: Krishnamurthy, Vikram, et al.
Published: (2026)
Finite-Sample Bounds for Adaptive Inverse Reinforcement Learning using Passive Langevin Dynamics
by: Snow, Luke, et al.
Published: (2023)
by: Snow, Luke, et al.
Published: (2023)
Why Most Optimism Bandit Algorithms Have the Same Regret Analysis: A Simple Unifying Theorem
by: Krishnamurthy, Vikram
Published: (2025)
by: Krishnamurthy, Vikram
Published: (2025)
Information Diffusion and Preferential Attachment in a Network of Large Language Models
by: Jain, Adit, et al.
Published: (2025)
by: Jain, Adit, et al.
Published: (2025)
Structured Reinforcement Learning for Incentivized Stochastic Covert Optimization
by: Jain, Adit, et al.
Published: (2024)
by: Jain, Adit, et al.
Published: (2024)
Data-Driven Mechanism Design using Multi-Agent Revealed Preferences
by: Snow, Luke, et al.
Published: (2024)
by: Snow, Luke, et al.
Published: (2024)
Collaborative QA using Interacting LLMs. Impact of Network Structure, Node Capability and Distributed Data
by: Jain, Adit, et al.
Published: (2025)
by: Jain, Adit, et al.
Published: (2025)
Asymmetric Network Games: $α$-Potential Function and Learning
by: Rokade, Kiran, et al.
Published: (2025)
by: Rokade, Kiran, et al.
Published: (2025)
Finite Sample and Large Deviations Analysis of Stochastic Gradient Algorithm with Correlated Noise
by: Yin, George, et al.
Published: (2024)
by: Yin, George, et al.
Published: (2024)
On Word-of-Mouth and Private-Prior Sequential Social Learning
by: Da Col, Andrea, et al.
Published: (2025)
by: Da Col, Andrea, et al.
Published: (2025)
Performance-Aware Self-Configurable Multi-Agent Networks: A Distributed Submodular Approach for Simultaneous Coordination and Network Design
by: Xu, Zirui, et al.
Published: (2024)
by: Xu, Zirui, et al.
Published: (2024)
A Blockchain-Enabled Framework of UAV Coordination for Post-Disaster Networks
by: Hafeez, Sana, et al.
Published: (2024)
by: Hafeez, Sana, et al.
Published: (2024)
Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning
by: Jia, Ziye, et al.
Published: (2025)
by: Jia, Ziye, et al.
Published: (2025)
Multi-Agent Deep Reinforcement Learning for UAV-Assisted 5G Network Slicing: A Comparative Study of MAPPO, MADDPG, and MADQN
by: Bista, Ghoshana, et al.
Published: (2025)
by: Bista, Ghoshana, et al.
Published: (2025)
Learning to Coordinate over Networks with Bounded Rationality
by: Wang, Zhewei, et al.
Published: (2026)
by: Wang, Zhewei, et al.
Published: (2026)
Multi-Task Lifelong Reinforcement Learning for Wireless Sensor Networks
by: Firouzjaei, Hossein Mohammadi, et al.
Published: (2025)
by: Firouzjaei, Hossein Mohammadi, et al.
Published: (2025)
Data-Efficient System Identification via Lipschitz Neural Networks
by: Wei, Shiqing, et al.
Published: (2024)
by: Wei, Shiqing, et al.
Published: (2024)
Multi-Agent Reinforcement Learning for UAV-Based Chemical Plume Source Localization
by: Li, Zhirun, et al.
Published: (2026)
by: Li, Zhirun, et al.
Published: (2026)
Fisher Information Approach for Masking the Sensing Plan: Applications in Multifunction Radars
by: Jain, Shashwat, et al.
Published: (2024)
by: Jain, Shashwat, et al.
Published: (2024)
Variations in Multi-Agent Actor-Critic Frameworks for Joint Optimizations in UAV Swarm Networks: Recent Evolution, Challenges, and Directions
by: Alam, Muhammad Morshed, et al.
Published: (2024)
by: Alam, Muhammad Morshed, et al.
Published: (2024)
Efficient Neural SDE Training using Wiener-Space Cubature
by: Snow, Luke, et al.
Published: (2025)
by: Snow, Luke, et al.
Published: (2025)
Efficient Counterfactual Estimation of Conditional Greeks via Malliavin-based Weak Derivatives
by: Krishnamurthy, Vikram, et al.
Published: (2026)
by: Krishnamurthy, Vikram, et al.
Published: (2026)
Predictive & Trust-based Multi-Agent Coordination
by: Renganathan, Venkatraman, et al.
Published: (2025)
by: Renganathan, Venkatraman, et al.
Published: (2025)
JCAS-MARL: Joint Communication and Sensing UAV Networks via Resource-Constrained Multi-Agent Reinforcement Learning
by: Guven, Islam, et al.
Published: (2026)
by: Guven, Islam, et al.
Published: (2026)
Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
by: Syed, Shahbaz P Qadri, et al.
Published: (2025)
On the Deployment of RIS-mounted UAV Networks
by: Mondal, Anupam, et al.
Published: (2025)
by: Mondal, Anupam, et al.
Published: (2025)
Nonlinear Network Identifiability with Full Excitations
by: Vizuete, Renato, et al.
Published: (2024)
by: Vizuete, Renato, et al.
Published: (2024)
Consensus-Based Stability Analysis of Multi-Agent Networks
by: Jang, Ingyu, et al.
Published: (2025)
by: Jang, Ingyu, et al.
Published: (2025)
Multi-Agent Reinforcement Learning for the Low-Level Control of a Quadrotor UAV
by: Yu, Beomyeol, et al.
Published: (2023)
by: Yu, Beomyeol, et al.
Published: (2023)
Coordinated UAV Beamforming and Control for Directional Jamming and Nulling
by: Fotiadis, Filippos, et al.
Published: (2025)
by: Fotiadis, Filippos, et al.
Published: (2025)
Distributed Coordination of Multi-Microgrids in Active Distribution Networks for Provisioning Ancillary Services
by: Mallick, Arghya, et al.
Published: (2023)
by: Mallick, Arghya, et al.
Published: (2023)
On Game based Distributed Approach for General Multi-agent Optimal Coverage with Application to UAV Networks
by: Feng, Zixin, et al.
Published: (2024)
by: Feng, Zixin, et al.
Published: (2024)
Spatio-Temporal Attention Enhanced Multi-Agent DRL for UAV-Assisted Wireless Networks with Limited Communications
by: Chen, Che, et al.
Published: (2026)
by: Chen, Che, et al.
Published: (2026)
Inverse Inference on Cooperative Control of Networked Dynamical Systems
by: Li, Yushan, et al.
Published: (2025)
by: Li, Yushan, et al.
Published: (2025)
Logarithmically Quantized Distributed Optimization over Dynamic Multi-Agent Networks
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)
by: Doostmohammadian, Mohammadreza, et al.
Published: (2024)
Coevolution of Actions and Opinions in Networks of Coordinating and Anti-Coordinating Agents
by: Liang, Hong, et al.
Published: (2025)
by: Liang, Hong, et al.
Published: (2025)
Similar Items
-
Multi-Agent Inverse Reinforcement Learning for Identifying Pareto-Efficient Coordination -- A Distributionally Robust Approach
by: Snow, Luke, et al.
Published: (2025) -
Distributionally Robust Inverse Reinforcement Learning for Identifying Multi-Agent Coordinated Sensing
by: Snow, Luke, et al.
Published: (2024) -
Malliavin Calculus with Weak Derivatives for Counterfactual Stochastic Optimization
by: Krishnamurthy, Vikram, et al.
Published: (2025) -
Interacting Large Language Model Agents. Interpretable Models and Social Learning
by: Jain, Adit, et al.
Published: (2024) -
Malliavin Calculus for Counterfactual Gradient Estimation in Adaptive Inverse Reinforcement Learning
by: Krishnamurthy, Vikram, et al.
Published: (2026)