Structure from Strategic Interaction & Uncertainty: Risk Sensitive Games for Robust Preference Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Horwitz, Max, Gonzales, Jake, Mazumdar, Eric, Ratliff, Lillian J. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation
by: Gonzales, Jake, et al.
Published: (2026)
by: Gonzales, Jake, et al.
Published: (2026)
A Learning Algorithm That Attains the Human Optimum in a Repeated Human-Machine Interaction Game
by: Isa, Jason T., et al.
Published: (2025)
by: Isa, Jason T., et al.
Published: (2025)
Query-Efficient Algorithm to Find all Nash Equilibria in a Two-Player Zero-Sum Matrix Game
by: Maiti, Arnab, et al.
Published: (2023)
by: Maiti, Arnab, et al.
Published: (2023)
Convergence Analysis of Gradient-Based Learning with Non-Uniform Learning Rates in Non-Cooperative Multi-Agent Settings
by: Chasnov, Benjamin, et al.
Published: (2019)
by: Chasnov, Benjamin, et al.
Published: (2019)
On the Limitations and Possibilities of Nash Regret Minimization in Zero-Sum Matrix Games under Noisy Feedback
by: Maiti, Arnab, et al.
Published: (2023)
by: Maiti, Arnab, et al.
Published: (2023)
Follower Agnostic Methods for Stackelberg Games
by: Maheshwari, Chinmay, et al.
Published: (2023)
by: Maheshwari, Chinmay, et al.
Published: (2023)
Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation
by: Liu, Junyan, et al.
Published: (2026)
by: Liu, Junyan, et al.
Published: (2026)
Convergent Q-Learning for Infinite-Horizon General-Sum Markov Games through Behavioral Economics
by: Zhang, Yizhou, et al.
Published: (2025)
by: Zhang, Yizhou, et al.
Published: (2025)
Understanding Model Selection For Learning In Strategic Environments
by: Handina, Tinashe, et al.
Published: (2024)
by: Handina, Tinashe, et al.
Published: (2024)
Convergence of Learning Dynamics in Stackelberg Games
by: Fiez, Tanner, et al.
Published: (2019)
by: Fiez, Tanner, et al.
Published: (2019)
Learning to Steer Learners in Games
by: Zhang, Yizhou, et al.
Published: (2025)
by: Zhang, Yizhou, et al.
Published: (2025)
Is Learning Effective in Dynamic Strategic Interactions? Evidence from Stackelberg Games
by: Albert, Michael, et al.
Published: (2025)
by: Albert, Michael, et al.
Published: (2025)
Tractable Equilibrium Computation in Markov Games through Risk Aversion
by: Mazumdar, Eric, et al.
Published: (2024)
by: Mazumdar, Eric, et al.
Published: (2024)
Effect of Adaptation Rate and Cost Display in a Human-AI Interaction Game
by: Isa, Jason T., et al.
Published: (2024)
by: Isa, Jason T., et al.
Published: (2024)
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
by: Liu, Junyan, et al.
Published: (2025)
by: Liu, Junyan, et al.
Published: (2025)
Strategically Robust Linear Quadratic Dynamic Games
by: Velasevic, Boris, et al.
Published: (2026)
by: Velasevic, Boris, et al.
Published: (2026)
Strategically Robust Aggregative Games
by: Feik, Andreas, et al.
Published: (2026)
by: Feik, Andreas, et al.
Published: (2026)
Emergent specialization from participation dynamics and multi-learner retraining
by: Dean, Sarah, et al.
Published: (2022)
by: Dean, Sarah, et al.
Published: (2022)
Last-Iterate Convergence of Payoff-Based Independent Learning in Zero-Sum Stochastic Games
by: Chen, Zaiwei, et al.
Published: (2024)
by: Chen, Zaiwei, et al.
Published: (2024)
Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries
by: Maiti, Arnab, et al.
Published: (2025)
by: Maiti, Arnab, et al.
Published: (2025)
On the Universal Near Optimality of Hedge in Combinatorial Settings
by: Fan, Zhiyuan, et al.
Published: (2025)
by: Fan, Zhiyuan, et al.
Published: (2025)
Distributionally Robust Games via Coherent Risk Measures
by: Gangwani, Bharat, et al.
Published: (2026)
by: Gangwani, Bharat, et al.
Published: (2026)
Provably Convergent Actor-Critic for MARL through Risk-aversion
by: Zhang, Yizhou, et al.
Published: (2026)
by: Zhang, Yizhou, et al.
Published: (2026)
Strategically Robust Game Theory via Optimal Transport
by: Lanzetti, Nicolas, et al.
Published: (2025)
by: Lanzetti, Nicolas, et al.
Published: (2025)
Efficient Uncoupled Learning Dynamics with $\tilde{O}\!\left(T^{-1/4}\right)$ Last-Iterate Convergence in Bilinear Saddle-Point Problems over Convex Sets under Bandit Feedback
by: Maiti, Arnab, et al.
Published: (2026)
by: Maiti, Arnab, et al.
Published: (2026)
An Enriched Model of Strategic Voting under Uncertainty
by: Surugue, Henri, et al.
Published: (2026)
by: Surugue, Henri, et al.
Published: (2026)
The Value of Compromising Strategic Intent in General Lotto Games
by: Diaz-Garcia, Gilberto, et al.
Published: (2024)
by: Diaz-Garcia, Gilberto, et al.
Published: (2024)
Stability in Single-Peaked Strategic Resource Selection Games
by: Zeiler, Henri
Published: (2025)
by: Zeiler, Henri
Published: (2025)
On the Power of Strategic Corpus Enrichment in Content Creation Games
by: Nachimovsky, Haya, et al.
Published: (2024)
by: Nachimovsky, Haya, et al.
Published: (2024)
Nash Equilibrium in Games on Graphs with Incomplete Preferences
by: Kulkarni, Abhishek N., et al.
Published: (2024)
by: Kulkarni, Abhishek N., et al.
Published: (2024)
Two-Stage Stochastic Capacity Expansion in Stable Matching under Truthful or Strategic Preference Uncertainty
by: Bazotte, Maria, et al.
Published: (2025)
by: Bazotte, Maria, et al.
Published: (2025)
Investigating the Impact of Subgraph Social Structure Preference on the Strategic Behavior of Networked Mixed-Motive Learning Agents
by: Gao, Xinqi, et al.
Published: (2026)
by: Gao, Xinqi, et al.
Published: (2026)
A Machine Learning Approach to Detect Strategic Behavior from Large-Population Observational Data Applied to Game Mode Prediction on a Team-Based Video Game
by: Wang, Boshen, et al.
Published: (2024)
by: Wang, Boshen, et al.
Published: (2024)
Randomized Strategic Facility Location with Predictions
by: Balkanski, Eric, et al.
Published: (2024)
by: Balkanski, Eric, et al.
Published: (2024)
Non-obvious Manipulability in Hedonic Games with Friends Appreciation Preferences
by: Flammini, Michele, et al.
Published: (2025)
by: Flammini, Michele, et al.
Published: (2025)
Dynamic Coalitions in Games on Graphs with Preferences over Temporal Goals
by: Yilmaz, A. Kaan Ata, et al.
Published: (2025)
by: Yilmaz, A. Kaan Ata, et al.
Published: (2025)
Games with $ω$-Automatic Preference Relations
by: Bruyère, Véronique, et al.
Published: (2025)
by: Bruyère, Véronique, et al.
Published: (2025)
Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
by: Shi, Laixi, et al.
Published: (2024)
by: Shi, Laixi, et al.
Published: (2024)
Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling
by: Tang, Wei, et al.
Published: (2024)
by: Tang, Wei, et al.
Published: (2024)
Algorithmic Collective Action in Machine Learning
by: Hardt, Moritz, et al.
Published: (2023)
by: Hardt, Moritz, et al.
Published: (2023)
Similar Items
-
Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation
by: Gonzales, Jake, et al.
Published: (2026) -
A Learning Algorithm That Attains the Human Optimum in a Repeated Human-Machine Interaction Game
by: Isa, Jason T., et al.
Published: (2025) -
Query-Efficient Algorithm to Find all Nash Equilibria in a Two-Player Zero-Sum Matrix Game
by: Maiti, Arnab, et al.
Published: (2023) -
Convergence Analysis of Gradient-Based Learning with Non-Uniform Learning Rates in Non-Cooperative Multi-Agent Settings
by: Chasnov, Benjamin, et al.
Published: (2019) -
On the Limitations and Possibilities of Nash Regret Minimization in Zero-Sum Matrix Games under Noisy Feedback
by: Maiti, Arnab, et al.
Published: (2023)