Improving Kinodynamic Planners for Vehicular Navigation with Learned Goal-Reaching Controllers. - Aravind Sivaramakrishnan; Edgar Granados; Seth Karten; Troy McMahon; Kostas E. Bekris (IROS, 2021)

Data-Efficient Learning of High-Quality Controls for Kinodynamic Planning used in Vehicular Navigation. - Seth Karten; Aravind Sivaramakrishnan; Edgar Granados; Troy McMahon; Kostas E. Bekris (CoRR, 2022)

The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication. - Seth Karten; Siddharth Agrawal; Mycal Tucker; Dana Hughes 001; Michael Lewis 001; Julie Shah; Katia P. Sycara (CoRR, 2022)

Probe-Based Interventions for Modifying Agent Behavior. - Mycal Tucker; William Kuhl; Khizer Shahid; Seth Karten; Katia P. Sycara; Julie Shah (CoRR, 2022)

Emergent Compositional Concept Communication through Mutual Information in Multi-Agent Teams. - Seth Karten; Siva Kailas; Katia P. Sycara (AAMAS, 2023)

Towards True Lossless Sparse Communication in Multi-Agent Systems. - Seth Karten; Mycal Tucker; Siva Kailas; Katia P. Sycara (ICRA, 2023)

On the Role of Emergent Communication for Social Learning in Multi-Agent Reinforcement Learning. - Seth Karten; Siva Kailas; Huao Li; Katia P. Sycara (CoRR, 2023)

Interpretable Learned Emergent Communication for Human-Agent Teams. - Seth Karten; Mycal Tucker; Huao Li; Siva Kailas; Michael Lewis 001; Katia P. Sycara (IEEE Trans. Cogn. Dev. Syst., 2023)

FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning. - Wenzhe Li; Zihan Ding; Seth Karten; Chi Jin 001 (ICML, 2024)

PokéChamp: an Expert-level Minimax Language Agent. - Seth Karten; Andy Luu Nguyen; Chi Jin 001 (CoRR, 2025)

LLM Economist: Large Population Models and Mechanism Design in Multi-Agent Generative Simulacra. - Seth Karten; Wenzhe Li; Zihan Ding; Samuel Kleiner; Yu Bai 017; Chi Jin 001 (CoRR, 2025)