Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World. - Florian Laurent; Manuel Schneider; Christian Scheller; Jeremy D. Watson; Jiaoyang Li 001; Zhe Chen 016; Yi Zheng; Shao-Hung Chan; Konstantin Makhnev; Oleg Svidchenko; Vladimir Egorov; Dmitry Ivanov; et al. (NeurIPS (Competition and Demos), 2020)

PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Lifelong. - Mehul Damani; Zhiyao Luo; Emerson Wenzel; Guillaume Sartoretti (CoRR, 2020)

PRIMAL$_2$: Pathfinding Via Reinforcement and Imitation Multi-Agent Learning - Lifelong. - Mehul Damani; Zhiyao Luo; Emerson Wenzel; Guillaume Sartoretti (IEEE Robotics Autom. Lett., 2021)

Multi-agent Traffic Signal Control via Distributed RL with Spatial and Temporal Feature Extraction. - Yifeng Zhang; Mehul Damani; Guillaume Sartoretti (AAMAS Workshops, 2022)

Distributed Reinforcement Learning for Robot Teams: A Review. - Yutong Wang 003; Mehul Damani; Pamela Wang; Yuhong Cao; Guillaume Sartoretti (CoRR, 2022)

SocialLight: Distributed Cooperation Learning towards Network-Wide Traffic Signal Control. - Harsh Goel; Yifeng Zhang; Mehul Damani; Guillaume Sartoretti (AAMAS, 2023)

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. - Stephen Casper; Xander Davies; Claudia Shi; Thomas Krendl Gilbert; Jérémy Scheurer; Javier Rando; Rachel Freedman; Tomasz Korbak; David Lindner; Pedro Freire; Tony Tong Wang; Samuel Marks; et al. (Trans. Mach. Learn. Res., 2023)

The Surprising Effectiveness of Test-Time Training for Abstract Reasoning. - Ekin Akyürek; Mehul Damani; Linlu Qiu; Han Guo; Yoon Kim; Jacob Andreas (CoRR, 2024)

Formal contracts mitigate social dilemmas in multi-agent reinforcement learning. - Andreas A. Haupt; Phillip J. K. Christoffersen; Mehul Damani; Dylan Hadfield-Menell (Auton. Agents Multi Agent Syst., 2024)

Learning How Hard to Think: Input-Adaptive Allocation of LM Computation. - Mehul Damani; Idan Shenfeld; Andi Peng; Andreea Bobu; Jacob Andreas (ICLR, 2025)

CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control. - Yifeng Zhang; Harsh Goel; Peizhuo Li; Mehul Damani; Sandeep Chinchali; Guillaume Sartoretti (IEEE Trans. Intell. Transp. Syst., 2025)

Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty. - Mehul Damani; Isha Puri; Stewart Slocum; Idan Shenfeld; Leshem Choshen; Yoon Kim; Jacob Andreas (CoRR, 2025)