AAMAS 2022 Overview

AAMAS 2022

• International Conference on Autonomous Agents and Multiagent Systems
   

• Largest and most influential conference in the area of agents and multiagent systems.
   

• AAMAS 2022 was "completely remote"

AAMAS 2022

• ​Usual deadline - September/October
   

• Areas of Interest (to us)​

  • Learning and Adaptation

  • Robotics

  • Humans and AI/Human-Agent Interaction (NEW)

  • Knowledge Representation, Reasoning, and Planning

  • Social Choice and Cooperative Game Theory

  • Markets, Auctions, and Non-cooperative Game Theory

AAMAS 2022

• ​Review Process

  • Good and detailed reviews (total 3)
     

  • Reviews and rebuttal period of one week (3rd week of November)
     

  • ​Double-blind reviewing
     

  • Final Decision - 3rd week of December
     

AAMAS 2022

• Spread across 6 days (May 8th - May 13th) (NZ time)
   

• Interesting Workshops and Tutorials
   

  • Graph Neural Networks: Learning Representations of Robot Team Coordination Problems
     

  • Workshop on Optimization and Learning in Multi-Agent Systems (OptLearnMAS)

AAMAS 2022

• Interesting Workshops and Tutorials
   

  • Multi-Agent Systems Approaches for COVID-19 and Future Pandemics
     

  • Risk-aware Single-agent & Multi-agent Reinforcement Learning: Algorithms and Meta-algorithms
     

  • Recent Advances in Multi-Agent Path Finding

     

AAMAS 2022

• Interesting Papers

  • Scalable Multi-Agent Model-Based Reinforcement Learning
  • RMIX
  • Coordinated Multi-Agent Path Finding for Drones and Trucks over Road Networks
  • Autonomous Swarm Shepherding Using Curriculum-Based Reinforcement Learning

AAMAS 2022

• Interesting Papers

  • A Hierarchical Bayesian Process for Inverse RL in Partially-Controlled Environments
  • Unbiased Asymmetric Reinforcement Learning under Partial Observability
  • Context-Aware Modelling for Multi-Robot Systems Under Uncertainty
  • Best-Response Bayesian Reinforcement Learning with BA-POMDPs for Centaurs

AAMAS 2022

• Interesting Papers

  • Tactile Pose Estimation and Policy Learning for Unknown Object Manipulation
  • State Supervised Steering Function for Sampling-based Kinodynamic Planning
  • Multiagent Model-based Credit Assignment for Continuous Control
  • Lazy-MDPs: Towards Interpretable RL by Learning When to Act

AAMAS 2022

• AAMAS
   

  • Few Interesting Papers

    • ​Double-blind reviewing

    • Reviews and rebuttal period of one week (3rd week of November)

    • Good and detailed reviews (total 3)
       

  • Final Decision - 3rd week of December