Arambam James Singh

According to our database1, Arambam James Singh authored at least 12 papers between 2014 and 2022.

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Bibliography

2022
Constrained Multiagent Reinforcement Learning for Large Agent Population.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Trajectory Optimization for Safe Navigation in Maritime Traffic Using Historical Data.
Proceedings of the 28th International Conference on Principles and Practice of Constraint Programming, 2022

2021
Approximate Difference Rewards for Scalable Multigent Reinforcement Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Ship-GAN: Generative Modeling Based Maritime Traffic Simulator.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Learning and Exploiting Shaped Reward Models for Large Scale Multiagent RL.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

2020
Hierarchical Multiagent Reinforcement Learning for Maritime Traffic Management.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Graph Based Optimization for Multiagent Cooperation.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Multiagent Decision Making For Maritime Traffic Management.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2017
Multiagent Coordination Using Graph Structured Mathematical Optimization.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016
Robust Decision Making for Stochastic Network Design.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Multiagent Based Algorithmic Approach for Fast Response in Railway Disaster Handling.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

2014
Multi Agent Based Dynamic Task Allocation.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2014


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