Mehul Damani

According to our database, Mehul Damani authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, July, 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., June, 2025

Learning How Hard to Think: Input-Adaptive Allocation of LM Computation.

Mehul Damani, Idan Shenfeld, Andi Peng, Andreea Bobu, Jacob Andreas

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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., December, 2024

The Surprising Effectiveness of Test-Time Training for Abstract Reasoning.

Ekin Akyürek, Mehul Damani, Linlu Qiu, Han Guo, Yoon Kim, Jacob Andreas

CoRR, 2024

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, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell

Trans. Mach. Learn. Res., 2023

SocialLight: Distributed Cooperation Learning towards Network-Wide Traffic Signal Control.

Harsh Goel, Yifeng Zhang, Mehul Damani, Guillaume Sartoretti

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Distributed Reinforcement Learning for Robot Teams: A Review.

Yutong Wang, Mehul Damani, Pamela Wang, Yuhong Cao, Guillaume Sartoretti

CoRR, 2022

Multi-agent Traffic Signal Control via Distributed RL with Spatial and Temporal Feature Extraction.

Yifeng Zhang, Mehul Damani, Guillaume Sartoretti

Proceedings of the Autonomous Agents and Multiagent Systems. Best and Visionary Papers, 2022

2021

PRIMAL$_2$: Pathfinding Via Reinforcement and Imitation Multi-Agent Learning - Lifelong.

Mehul Damani, Zhiyao Luo, Emerson Wenzel, Guillaume Sartoretti

IEEE Robotics Autom. Lett., 2021

2020

PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Lifelong.

Mehul Damani, Zhiyao Luo, Emerson Wenzel, Guillaume Sartoretti

CoRR, 2020

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, Zhe Chen, Yi Zheng, Shao-Hung Chan, Konstantin Makhnev, Oleg Svidchenko, Vladimir Egorov, Dmitry Ivanov, Aleksei Shpilman, Evgenija Spirovska, Oliver Tanevski, Aleksandar Nikov, Ramon Grunder, David Galevski, Jakov Mitrovski, Guillaume Sartoretti, Zhiyao Luo, Mehul Damani, Nilabha Bhattacharya, Shivam Agarwal, Adrian Egli, Erik Nygren, Sharada P. Mohanty

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020