ICML 2022 Workshop AI4ABM Submissions

Estimating the Impact of Coordinated Inauthentic Behavior on Content Recommendations in Social Networks
Swapneel S Mehta, Atilim Gunes Baydin, Bogdan State, Richard Bonneau, Jonathan Nagler, Philip Torr
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Oral
- Readers: Everyone
The StarCraft Multi-Agent Challenges+ : Learning of Sub-tasks and Environmental Benefits without Precise Reward Functions
Mingyu Kim, Jihwan Oh, Yongsik Lee, Joonkee Kim, SeongHwan Kim, Song Chong, Se-Young Yun
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Spotlight
- Readers: Everyone
Robustness of Inverse Reinforcement Learning
Ezgi Korkmaz
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Poster
- Readers: Everyone
Inferring Relationship using Theory of Mind in Press Diplomacy
Hyeonchang Jeon, Songmi Oh, Wonsang You, Hoyoun Jung, Kyung-Joong Kim
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Poster
- Readers: Everyone
Differentiable agent-based epidemiological modeling for end-to-end learning
Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Balaji Krishnamurthy, B. Aditya Prakash, Ramesh Raskar
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Oral
- Readers: Everyone
Exploring social theory integration in agent-based modelling using multi-objective grammatical evolution
Tuong Manh Vu, Charlotte Buckley, Joao A. Duro, Robin C. Purshouse
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Oral
- Readers: Everyone
The AI Macroeconomy: A New Set of Benchmarks for Multiagent Reinforcement Learning Models
Brandon Gary Kaplowitz
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Poster
- Readers: Everyone
High Performance Simulation for Scalable Multi-Agent Reinforcement Learning
Jordan Langham-Lopez, Sebastian M Schmon, Patrick Cannon
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Spotlight
- Readers: Everyone
Risk Perspective Exploration in Distributional Reinforcement Learning
Jihwan Oh, Joonkee Kim, Se-Young Yun
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Poster
- Readers: Everyone
Calibrating Agent-based Models to Microdata with Graph Neural Networks
Joel Dyer, Patrick Cannon, J. Doyne Farmer, Sebastian M Schmon
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Spotlight
- Readers: Everyone
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning
Woojun Kim, Whiyoung Jung, Myungsik Cho, Youngchul Sung
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Poster
- Readers: Everyone
Convergence and Price of Anarchy Guarantees of the Softmax Policy Gradient in Markov Potential Games
Dingyang Chen, Qi Zhang, Thinh T. Doan
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Poster
- Readers: Everyone
Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City
Varun Madhavan, Adway Mitra, Partha Pratim Chakrabarti
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Poster
- Readers: Everyone
Evology: an Empirically-Calibrated Market Ecology Agent-Based Model for Trading Strategy Search
Aymeric Vie, Maarten Peter Scholl, Doyne James Farmer
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Oral
- Readers: Everyone
Generating Diverse Cooperative Agents by Learning Incompatible Policies
Rujikorn Charakorn, Poramate Manoonpong, Nat Dilokthanakul
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Spotlight
- Readers: Everyone
Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks
Siddhartha Datta, Nigel Shadbolt
- Published: 11 Jul 2022, Last Modified: 05 May 2023
- AI4ABM 2022 Poster
- Readers: Everyone