Copertina

On Dynamic Programming Theory for Leader-Follower Stochastic Games

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dibangoye, Jilles Steeve, Marre, Thibaut Le, Sankur, Ocan, Schwarzentruber, François
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Science and Game Theory Artificial Intelligence F.2.2; I.2.8; I.2.11; G.3
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

On Convex Optimal Value Functions For POSGs
di: Cunha, Rafael F., et al.
Pubblicazione: (2023)

Intention Communication and Hypothesis Likelihood in Game-Theoretic Motion Planning
di: Chahine, Makram, et al.
Pubblicazione: (2022)

Privacy Preserving Multi Agent Path Finding
di: Lehman, Rotem Lev, et al.
Pubblicazione: (2026)

Building Large-Scale Drone Defenses from Small-Team Strategies
di: Douglas, Grant, et al.
Pubblicazione: (2026)

Toward Constraint Compliant Goal Formulation and Planning
di: Jones, Steven J., et al.
Pubblicazione: (2024)

Dynamic UGV-UAV Cooperative Path Planning in Uncertain Environments
di: Nguyen, Ninh, et al.
Pubblicazione: (2026)

Procedural Game Level Design with Deep Reinforcement Learning
di: Özkan, Miraç Buğra
Pubblicazione: (2025)

An Explainable Collaborative Dialogue System using a Theory of Mind
di: Cohen, Philip R., et al.
Pubblicazione: (2023)

N-Agent Ad Hoc Teamwork
di: Wang, Caroline, et al.
Pubblicazione: (2024)

Redefining Clustered Federated Learning for System Identification: The Path of ClusterCraft
di: Keçeci, Ertuğrul, et al.
Pubblicazione: (2025)

Opponent State Inference Under Partial Observability: An HMM-POMDP Framework for 2026 Formula 1 Energy Strategy
di: Kleisarchaki, Kalliopi
Pubblicazione: (2026)

BPMN to PDDL: Translating Business Workflows for AI Planning
di: Nie, Jasper, et al.
Pubblicazione: (2025)

PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments
di: Schipper, Olivier, et al.
Pubblicazione: (2025)

SIA: Self Improving AI with Harness & Weight Updates
di: Hebbar, Prannay, et al.
Pubblicazione: (2026)

CIVIC: Cooperative Immersion Via Intelligent Credit-sharing in DRL-Powered Metaverse
di: Aboeleneen, Amr, et al.
Pubblicazione: (2026)

ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
di: Wang, Caroline, et al.
Pubblicazione: (2025)

AgentSpawn: Adaptive Multi-Agent Collaboration Through Dynamic Spawning for Long-Horizon Code Generation
di: Costa, Igor
Pubblicazione: (2026)

PilotBench: A Benchmark for General Aviation Agents with Safety Constraints
di: Wu, Yalun, et al.
Pubblicazione: (2026)

Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach
di: Peralez, Johan, et al.
Pubblicazione: (2024)

AgensFlow: A Coordination-Policy Substrate for Multi-Agent Systems
di: Koenigstein, Nicole
Pubblicazione: (2026)

Multi-Agent Design Assistant for the Simulation of Inertial Fusion Energy
di: Shachar, Meir H., et al.
Pubblicazione: (2025)

TML-Bench: Benchmark for Data Science Agents on Tabular ML Tasks
di: Pinchuk, Mykola
Pubblicazione: (2026)

TRIZ Agents: A Multi-Agent LLM Approach for TRIZ-Based Innovation
di: Szczepanik, Kamil, et al.
Pubblicazione: (2025)

Collaborative LLM Agents for C4 Software Architecture Design Automation
di: Szczepanik, Kamil, et al.
Pubblicazione: (2025)

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain
di: Weigang, Li, et al.
Pubblicazione: (2025)

AI Agents: Evolution, Architecture, and Real-World Applications
di: Krishnan, Naveen
Pubblicazione: (2025)

When Outcome Looks Right But Discipline Fails: Trace-Based Evaluation Under Hidden Competitor State
di: Zhu, Peiying, et al.
Pubblicazione: (2026)

Adaptive Minds: Empowering Agents with LoRA-as-Tools
di: Shekar, Pavan C, et al.
Pubblicazione: (2025)

Ultra-Reduced-Impact-Encased-Logging (URIEL): propose a new method for selective sustainable logging and post-harvest silvicultural treatment in tropical forest using airborne robotics systems
di: Albiero, Daniel, et al.
Pubblicazione: (2026)

Project Submission Games in Participatory Budgeting
di: Faliszewski, Piotr, et al.
Pubblicazione: (2025)

Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control
di: de Mol, Barbera, et al.
Pubblicazione: (2025)

EcoNet: Multiagent Planning and Control Of Household Energy Resources Using Active Inference
di: Boik, John C., et al.
Pubblicazione: (2025)

Evolutionary Data Theory: On the Similarities between Data Problems and Evolutionary Games
di: Wissgott, Philipp
Pubblicazione: (2026)

DM$^2$: Decentralized Multi-Agent Reinforcement Learning for Distribution Matching
di: Wang, Caroline, et al.
Pubblicazione: (2022)

DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game
di: Chen, Xiaobing, et al.
Pubblicazione: (2024)

How Generation Architecture Shapes Code Complexity in Multi-Agent LLM Systems: A Paired Study on HumanEval
di: Ashrafi, Nazmus
Pubblicazione: (2026)

CONSENT: A Negotiation Framework for Leveraging User Flexibility in Vehicle-to-Building Charging under Uncertainty
di: Sen, Rishav, et al.
Pubblicazione: (2026)

From Idea to CAD: A Language Model-Driven Multi-Agent System for Collaborative Design
di: Ocker, Felix, et al.
Pubblicazione: (2025)

Deployment-Time Reliability of Learned Robot Policies
di: Agia, Christopher
Pubblicazione: (2026)

Memory-Augmented State Machine Prompting: A Novel LLM Agent Framework for Real-Time Strategy Games
di: Qi, Runnan, et al.
Pubblicazione: (2025)