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Methodology
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Artificial Intelligence
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Multi-Agent Systems
3306 directly classified 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
Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain
IJCAI 2020
Ethics, Prosperity, and Society: Moral Evaluation Using Virtue Ethics and Utilitarianism
IJCAI 2020
Verifying Fault-Tolerance in Probabilistic Swarm Systems
IJCAI 2020
Response Selection for Multi-Party Conversations with Dynamic Topic Tracking
EMNLP 2020
Peer-Prediction in the Presence of Outcome Dependent Lying Incentives
IJCAI 2020
Synthesis of Deceptive Strategies in Reachability Games with Action Misperception
IJCAI 2020
When to Follow the Tip: Security Games with Strategic Informants
IJCAI 2020
Participatory Budgeting with Project Interactions
IJCAI 2020
PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection
IJCAI 2020
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning
IJCAI 2020
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning
IJCAI 2020
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles
IJCAI 2020
Label Enhancement for Label Distribution Learning via Prior Knowledge
IJCAI 2020
Multi-Directional Heuristic Search
IJCAI 2020
DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs
IJCAI 2020
Optimal Exploration Algorithm of Multi-Agent Reinforcement Learning Methods (Student Abstract)
AAAI 2020
A Reinforcement Learning Approach to Strategic Belief Revelation with Social Influence
AAAI 2020
Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents
AAAI 2020
Joint Entity and Relation Extraction with a Hybrid Transformer and Reinforcement Learning Based Model
AAAI 2020
Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues
AAAI 2020
SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning
AAAI 2020
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning
AAAI 2020
Learning to Communicate Implicitly by Actions
AAAI 2020
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence
AAAI 2020
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning
AAAI 2020
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