AAAI 2024 accepted papers on Multi-agent systems and games
93 of the 2,864 papers accepted at AAAI 2024 (3.2%) are on Multi-agent systems and games, compared with 5.0% at AAAI 2023. They fall into 4 topics.
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Topics and papers
Human-AI and goal-conditioned · 43 papers
- ProAgent: Building Proactive Cooperative Agents with Large Language Models (63 citations)
- VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View (61 citations)
- Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning (36 citations)
- Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding (24 citations)
- Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context (18 citations)
- Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding (14 citations)
- Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI (12 citations)
- What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception (12 citations)
- Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes (9 citations)
- Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search (8 citations)
- Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal (8 citations)
- Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution (7 citations)
and 31 more in the interactive map.
Cooperative multi-agent RL · 25 papers
- Carbon Footprint Reduction for Sustainable Data Centers in Real-Time (25 citations)
- T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration (18 citations)
- Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning (15 citations)
- FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning (12 citations)
- Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck (11 citations)
- Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning (11 citations)
- Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning (9 citations)
- STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning (9 citations)
- ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning (8 citations)
- Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning (8 citations)
- PMAC: Personalized Multi-Agent Communication (8 citations)
- RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning (8 citations)
and 13 more in the interactive map.
Games and equilibria · 22 papers
- Approximating the Shapley Value without Marginal Contributions (28 citations)
- Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning (8 citations)
- Responsibility in Extensive Form Games (5 citations)
- On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing (4 citations)
- Stability in Online Coalition Formation (4 citations)
- Abstraction of Situation Calculus Concurrent Game Structures (3 citations)
- Altruism in Facility Location Problems (3 citations)
- Automated Design of Affine Maximizer Mechanisms in Dynamic Settings (3 citations)
- Improved Metric Distortion via Threshold Approvals (3 citations)
- Learning in Online Principal-Agent Interactions: The Power of Menus (3 citations)
- Causal Strategic Learning with Competitive Selection (2 citations)
- Coalition Formation for Task Allocation Using Multiple Distance Metrics (Student Abstract) (2 citations)
and 10 more in the interactive map.