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← Core AI
Artificial Intelligence
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Core AI
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Multi-Agent Systems
3,306 papers
Papers per year
2003: 3
2005: 4
2006: 6
2007: 10
2008: 10
2009: 11
2010: 8
2011: 12
2012: 11
2013: 25
2014: 18
2015: 19
2016: 25
2017: 96
2018: 117
2019: 248
2020: 262
2021: 315
2022: 287
2023: 339
2024: 453
2025: 737
2026: 290
Papers
Risk-Aware Decentralized Safe Control via Dynamic Responsibility Allocation (Student Abstract)
AAAI 2023
Parallel Index-Based Search Algorithm for Coalition Structure Generation (Student Abstract)
AAAI 2023
DUCK: A Drone-Urban Cyber-Defense Framework Based on Pareto-Optimal Deontic Logic Agents
AAAI 2023
One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems
ACL 2023
Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach
ACL 2023
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs
ACL 2023
CHEER: Centrality-aware High-order Event Reasoning Network for Document-level Event Causality Identification
ACL 2023
Language of Bargaining
ACL 2023
CB2: Collaborative Natural Language Interaction Research Platform
ACL 2023
UKP-SQuARE v3: A Platform for Multi-Agent QA Research
ACL 2023
Injecting Comparison Skills in Task-Oriented Dialogue Systems for Database Search Results Disambiguation
ACL 2023
Multi-Agent Language Learning: Symbolic Mapping
ACL 2023
So many design choices: Improving and interpreting neural agent communication in signaling games
ACL 2023
Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive Teachers
ACL 2023
On the Correspondence between Compositionality and Imitation in Emergent Neural Communication
ACL 2023
A Survey of Challenges and Methods in the Computational Modeling of Multi-Party Dialog
ACL 2023
PESTO: A Post-User Fusion Network for Rumour Detection on Social Media
ACL 2023
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models via Reinforcement Learning
AISTATS 2023
Learning While Scheduling in Multi-Server Systems With Unknown Statistics: MaxWeight with Discounted UCB
AISTATS 2023
Nonstationary Bandit Learning via Predictive Sampling
AISTATS 2023
Incentive-aware Contextual Pricing with Non-parametric Market Noise
AISTATS 2023
Interactive Learning with Pricing for Optimal and Stable Allocations in Markets
AISTATS 2023
The Replicator Dynamic, Chain Components and the Response Graph
ALT 2023
Online Learning for Traffic Navigation in Congested Networks
ALT 2023
An Instance-Dependent Analysis for the Cooperative Multi-Player Multi-Armed Bandit
ALT 2023
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