Cover Image

Feint Behaviors and Strategies: Formalization, Implementation and Evaluation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Junyu, Peng, Xiangjun
Format:	Preprint
Published:	2024
Subjects:	Computer Science and Game Theory Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Formalizing Feint Actions, and Example Studies in Two-Player Games
by: Liu, Junyu, et al.
Published: (2024)

Voter Priming Campaigns: Strategies, Equilibria, and Algorithms
by: Shaki, Jonathan, et al.
Published: (2024)

Reasoning and Behavioral Equilibria in LLM-Nash Games: From Mindsets to Actions
by: Zhu, Quanyan
Published: (2025)

LLMs as Strategic Agents: Beliefs, Best Response Behavior, and Emergent Heuristics
by: de Fortuny, Enric Junque, et al.
Published: (2025)

DIML: Differentiable Inverse Mechanism Learning from Behaviors of Multi-Agent Learning Trajectories
by: An, Zhiyu, et al.
Published: (2026)

Large Language Models Playing Mixed Strategy Nash Equilibrium Games
by: Silva, Alonso
Published: (2024)

Persona Vectors in Games: Measuring and Steering Strategies via Activation Vectors
by: Sun, Johnathan, et al.
Published: (2026)

Adapting Beyond the Depth Limit: Counter Strategies in Large Imperfect Information Games
by: Milec, David, et al.
Published: (2025)

HSVI-based Online Minimax Strategies for Partially Observable Stochastic Games with Neural Perception Mechanisms
by: Yan, Rui, et al.
Published: (2024)

Reinforcement Learning in Strategy-Based and Atari Games: A Review of Google DeepMinds Innovations
by: Shaheen, Abdelrhman, et al.
Published: (2025)

How Far Can LLMs Emulate Human Behavior?: A Strategic Analysis via the Buy-and-Sell Negotiation Game
by: Jeon, Mingyu, et al.
Published: (2025)

Reward Hacking as Equilibrium under Finite Evaluation
by: Wang, Jiacheng, et al.
Published: (2026)

Reliable and Private Utility Signaling for Data Markets
by: Peng, Li, et al.
Published: (2025)

Ex Ante Evaluation of AI-Induced Idea Diversity Collapse
by: Azad, Nafis Saami, et al.
Published: (2026)

TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMs
by: Wang, Haochuan, et al.
Published: (2024)

Resilient Strategies for Stochastic Systems: How Much Does It Take to Break a Winning Strategy?
by: Grover, Kush, et al.
Published: (2026)

Approximate Nash Equilibrium Learning for n-Player Markov Games in Dynamic Pricing
by: Liu, Larkin
Published: (2022)

Strategy Synthesis for Zero-Sum Neuro-Symbolic Concurrent Stochastic Games
by: Yan, Rui, et al.
Published: (2022)

Full Proportional Justified Representation
by: Kalayci, Yusuf Hakan, et al.
Published: (2025)

KrwEmd: Revising the Imperfect-Recall Abstraction from Forgetting Everything
by: Fu, Yanchang, et al.
Published: (2025)

Differentially Private Condorcet Voting
by: Li, Zhechen, et al.
Published: (2022)

Beyond Outcome-Based Imperfect-Recall: Higher-Resolution Abstractions for Imperfect-Information Games
by: Fu, Yanchang, et al.
Published: (2025)

Pay for The Second-Best Service: A Game-Theoretic Approach Against Dishonest LLM Providers
by: Cao, Yuhan, et al.
Published: (2025)

Guiding the Recommender: Information-Aware Auto-Bidding for Content Promotion
by: Liu, Yumou, et al.
Published: (2026)

Bi-LSTM based Multi-Agent DRL with Computation-aware Pruning for Agent Twins Migration in Vehicular Embodied AI Networks
by: Wei, Yuxiang, et al.
Published: (2025)

Computing Ex Ante Equilibrium in Heterogeneous Zero-Sum Team Games
by: Liu, Naming, et al.
Published: (2024)

TERMS-Bench: Diagnosing LLM Negotiation Agents Beyond Deal Rate
by: Zhang, Erica, et al.
Published: (2026)

Eliciting Informative Text Evaluations with Large Language Models
by: Lu, Yuxuan, et al.
Published: (2024)

Evaluating LLM Agent Collusion in Double Auctions
by: Agrawal, Kushal, et al.
Published: (2025)

Evaluating LLM-Contaminated Crowdsourcing Data Without Ground Truth
by: Zhang, Yichi, et al.
Published: (2025)

Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games
by: Mahlau, Yannik, et al.
Published: (2024)

The Complexity of Manipulation of k-Coalitional Games on Graphs
by: Barr, Hodaya, et al.
Published: (2024)

Deep Learning Meets Mechanism Design: Key Results and Some Novel Applications
by: Sankar, V. Udaya, et al.
Published: (2024)

Algorithmic Bayesian Epistemology
by: Neyman, Eric
Published: (2024)

Deep Automated Mechanism Design for Integrating Ad Auction and Allocation in Feed
by: Li, Xuejian, et al.
Published: (2024)

Mixture of Public and Private Distributions in Imperfect Information Games
by: Arjonilla, Jérôme, et al.
Published: (2024)

Submodular Participatory Budgeting
by: Yuan, Jing, et al.
Published: (2024)

Game Theory with Simulation in the Presence of Unpredictable Randomisation
by: Kovarik, Vojtech, et al.
Published: (2024)

Human-in-the-loop Learning for Dynamic Congestion Games
by: Li, Hongbo, et al.
Published: (2024)

Towards a Game-theoretic Understanding of Explanation-based Membership Inference Attacks
by: Kumari, Kavita, et al.
Published: (2024)