N-Agent Ad Hoc Teamwork
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Caroline, Rahman, Arrasy, Durugkar, Ishan, Liebman, Elad, Stone, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
by: Wang, Caroline, et al.
Published: (2025)
by: Wang, Caroline, et al.
Published: (2025)
DM$^2$: Decentralized Multi-Agent Reinforcement Learning for Distribution Matching
by: Wang, Caroline, et al.
Published: (2022)
by: Wang, Caroline, et al.
Published: (2022)
TML-Bench: Benchmark for Data Science Agents on Tabular ML Tasks
by: Pinchuk, Mykola
Published: (2026)
by: Pinchuk, Mykola
Published: (2026)
Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control
by: de Mol, Barbera, et al.
Published: (2025)
by: de Mol, Barbera, et al.
Published: (2025)
PilotBench: A Benchmark for General Aviation Agents with Safety Constraints
by: Wu, Yalun, et al.
Published: (2026)
by: Wu, Yalun, et al.
Published: (2026)
PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments
by: Schipper, Olivier, et al.
Published: (2025)
by: Schipper, Olivier, et al.
Published: (2025)
One Policy, Infinite NPCs: Persona-Traceable Shared RL Policies for Scalable Game Agents
by: Hong, Yoosung
Published: (2026)
by: Hong, Yoosung
Published: (2026)
Multi-Agent Design Assistant for the Simulation of Inertial Fusion Energy
by: Shachar, Meir H., et al.
Published: (2025)
by: Shachar, Meir H., et al.
Published: (2025)
Procedural Game Level Design with Deep Reinforcement Learning
by: Özkan, Miraç Buğra
Published: (2025)
by: Özkan, Miraç Buğra
Published: (2025)
SIA: Self Improving AI with Harness & Weight Updates
by: Hebbar, Prannay, et al.
Published: (2026)
by: Hebbar, Prannay, et al.
Published: (2026)
From Idea to CAD: A Language Model-Driven Multi-Agent System for Collaborative Design
by: Ocker, Felix, et al.
Published: (2025)
by: Ocker, Felix, et al.
Published: (2025)
AI Agents: Evolution, Architecture, and Real-World Applications
by: Krishnan, Naveen
Published: (2025)
by: Krishnan, Naveen
Published: (2025)
Adaptive Minds: Empowering Agents with LoRA-as-Tools
by: Shekar, Pavan C, et al.
Published: (2025)
by: Shekar, Pavan C, et al.
Published: (2025)
Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
by: Tang, Wenjie, et al.
Published: (2026)
by: Tang, Wenjie, et al.
Published: (2026)
On Convex Optimal Value Functions For POSGs
by: Cunha, Rafael F., et al.
Published: (2023)
by: Cunha, Rafael F., et al.
Published: (2023)
LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain
by: Weigang, Li, et al.
Published: (2025)
by: Weigang, Li, et al.
Published: (2025)
When Outcome Looks Right But Discipline Fails: Trace-Based Evaluation Under Hidden Competitor State
by: Zhu, Peiying, et al.
Published: (2026)
by: Zhu, Peiying, et al.
Published: (2026)
EcoNet: Multiagent Planning and Control Of Household Energy Resources Using Active Inference
by: Boik, John C., et al.
Published: (2025)
by: Boik, John C., et al.
Published: (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
by: Albiero, Daniel, et al.
Published: (2026)
by: Albiero, Daniel, et al.
Published: (2026)
Deployment-Time Reliability of Learned Robot Policies
by: Agia, Christopher
Published: (2026)
by: Agia, Christopher
Published: (2026)
Beyond Prompt Engineering: Neuro-Symbolic-Causal Architecture for Robust Multi-Objective AI Agents
by: Akarlar, Gokturk Aytug
Published: (2025)
by: Akarlar, Gokturk Aytug
Published: (2025)
CIVIC: Cooperative Immersion Via Intelligent Credit-sharing in DRL-Powered Metaverse
by: Aboeleneen, Amr, et al.
Published: (2026)
by: Aboeleneen, Amr, et al.
Published: (2026)
Toward Constraint Compliant Goal Formulation and Planning
by: Jones, Steven J., et al.
Published: (2024)
by: Jones, Steven J., et al.
Published: (2024)
A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry
by: Schester, Larry, et al.
Published: (2024)
by: Schester, Larry, et al.
Published: (2024)
Robust and Diverse Multi-Agent Learning via Rational Policy Gradient
by: Lauffer, Niklas, et al.
Published: (2025)
by: Lauffer, Niklas, et al.
Published: (2025)
ChromaFlow: A Negative Ablation Study of Orchestration Overhead in Tool-Augmented Agent Evaluation
by: Mittal, Tarun
Published: (2026)
by: Mittal, Tarun
Published: (2026)
Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert Guidance
by: Silue, Bram, et al.
Published: (2025)
by: Silue, Bram, et al.
Published: (2025)
AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)
by: Yousaf, Iqra
Published: (2024)
Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork
by: Jing, Yuheng, et al.
Published: (2026)
by: Jing, Yuheng, et al.
Published: (2026)
Advancing Multimodal Agent Reasoning with Long-Term Neuro-Symbolic Memory
by: Jiang, Rongjie, et al.
Published: (2026)
by: Jiang, Rongjie, et al.
Published: (2026)
Instruction-Level Weight Shaping: A Framework for Self-Improving AI Agents
by: Costa, Rimom
Published: (2025)
by: Costa, Rimom
Published: (2025)
Privacy Preserving Multi Agent Path Finding
by: Lehman, Rotem Lev, et al.
Published: (2026)
by: Lehman, Rotem Lev, et al.
Published: (2026)
Exploring Multi-Agent Reinforcement Learning for Unrelated Parallel Machine Scheduling
by: Zampella, Maria, et al.
Published: (2024)
by: Zampella, Maria, et al.
Published: (2024)
StatePlane: A Cognitive State Plane for Long-Horizon AI Systems Under Bounded Context
by: Annapureddy, Sasank, et al.
Published: (2026)
by: Annapureddy, Sasank, et al.
Published: (2026)
Factorized Deep Q-Network for Cooperative Multi-Agent Reinforcement Learning in Victim Tagging
by: Cardei, Maria Ana, et al.
Published: (2025)
by: Cardei, Maria Ana, et al.
Published: (2025)
Memory-Augmented State Machine Prompting: A Novel LLM Agent Framework for Real-Time Strategy Games
by: Qi, Runnan, et al.
Published: (2025)
by: Qi, Runnan, et al.
Published: (2025)
Dynamic UGV-UAV Cooperative Path Planning in Uncertain Environments
by: Nguyen, Ninh, et al.
Published: (2026)
by: Nguyen, Ninh, et al.
Published: (2026)
Mimosa Framework: Toward Evolving Multi-Agent Systems for Scientific Research
by: Legrand, Martin, et al.
Published: (2026)
by: Legrand, Martin, et al.
Published: (2026)
Opponent State Inference Under Partial Observability: An HMM-POMDP Framework for 2026 Formula 1 Energy Strategy
by: Kleisarchaki, Kalliopi
Published: (2026)
by: Kleisarchaki, Kalliopi
Published: (2026)
The Stochastic Gap: A Markovian Framework for Pre-Deployment Reliability and Oversight-Cost Auditing in Agentic Artificial Intelligence
by: Pal, Biplab, et al.
Published: (2026)
by: Pal, Biplab, et al.
Published: (2026)
Similar Items
-
ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork
by: Wang, Caroline, et al.
Published: (2025) -
DM$^2$: Decentralized Multi-Agent Reinforcement Learning for Distribution Matching
by: Wang, Caroline, et al.
Published: (2022) -
TML-Bench: Benchmark for Data Science Agents on Tabular ML Tasks
by: Pinchuk, Mykola
Published: (2026) -
Centrally Coordinated Multi-Agent Reinforcement Learning for Power Grid Topology Control
by: de Mol, Barbera, et al.
Published: (2025) -
PilotBench: A Benchmark for General Aviation Agents with Safety Constraints
by: Wu, Yalun, et al.
Published: (2026)