AI4ABM@ICML2022 Workshop - Accepted Papers


Spotlight


The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions

[pdf]
Mingyu Kim, Jihwan Oh, Yongsik Lee, Joonkee Kim, Seonghwan Kim, Song Chong and Se-Young Yun


Generating Diverse Cooperative Agents by Learning Incompatible Policies

[pdf]
Rujikorn Charakorn, Poraramte Manoonpong, Nat Dilokthanakul


Calibrating Agent-based Models to Microdata with Graph Neural Networks

[pdf]
Joel Dyer, Patrick Cannon, J. Doyne Farmer, Sebastian M. Schmon


High Performance Simulation for Scalable Multi-Agent Reinforcement Learning

[pdf]
Jordan Langham-Lopez, Sebastian M. Schmon, Patrick Cannon


Oral


Evology: an Empirically-Calibrated Market Ecology Agent-Based Model for Trading Strategy Search

[pdf]
Aymeric Vié, Maarten Scholl, Doyne Farmer


Differentiable agent-based epidemiological modeling for end-to-end learning

[pdf]
Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar


Exploring social theory integration in agent-based modelling using multi-objective grammatical evolution

[pdf]
Tuong Manh Vu, Charlotte Buckley, João A. Duro, Robin C. Purshouse


Estimating the Impact of Coordinated Inauthentic Behavior on Content Recommendations in Social Networks

[pdf]
Swapneel S Mehta, Atilim Gunes Baydin, Bogdan State, Richard Bonneau, Jonathan Nagler, Philip Torr


Poster


Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks

[pdf]
Siddhartha Datta, Nigel Shadbolt


Inferring Relationship using Theory of Mind in Press Diplomacy

[pdf]
Hyeonchang Jeon, Songmi Oh, Wonsang You, Hoyoun Jung, Kyung-Joong Kim


Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City

[pdf]
Varun Madhavan, Adway Mitra, Partha Pratim Chakrabarti


The Robustness of Inverse Reinforcement Learning

[pdf]
Ezgi Korkmaz


The AI Macroeconomy: A New Set of Benchmarks for Multiagent Reinforcement Learning Models

[pdf]
Brandon Gary Kaplowitz


Risk Perspective Exploration in Distributional Reinforcement Learning

[pdf]
Jihwan Oh, Joonkee Kim, Se-Young Yun


A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning

[pdf]
Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung


Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games

[pdf]
Dingyang Chen, Qi Zhang, Thinh T. Doan