4 citations · 9 across the 6 of their papers we have counts for
7 papers
Monotonic Transformation Invariant Multi-task Learning
Surya Murthy, Kushagra Gupta, Mustafa O. Karabag +2
Multi-task learning (MTL) algorithms typically rely on schemes that combine different task losses or their gradients through weighted averaging. These methods aim to find Pareto st…
Integrated Noise and Safety Management in UAM via A Unified Reinforcement Learning Framework
Surya Murthy, Zhenyu Gao, John-Paul Clarke +1
Urban Air Mobility (UAM) envisions the widespread use of small aerial vehicles to transform transportation in dense urban environments. However, UAM faces critical operational chal…
Cooperative Bargaining Games Without Utilities: Mediated Solutions from Direction Oracles
Kushagra Gupta, Surya Murthy, Mustafa O. Karabag +2
Cooperative bargaining games are widely used to model resource allocation and conflict resolution. Traditional solutions assume the mediator can access agents utility function valu…
A Reinforcement Learning Approach to Quiet and Safe UAM Traffic Management
Surya Murthy, John-Paul Clarke, Ufuk Topcu +1
Urban air mobility (UAM) is a transformative system that operates various small aerial vehicles in urban environments to reshape urban transportation. However, integrating UAM into…
Separation Assurance in Urban Air Mobility Systems using Shared Scheduling Protocols
Surya Murthy, Tyler Ingebrand, Sophia Smith +3
Ensuring safe separation between aircraft is a critical challenge in air traffic management, particularly in urban air mobility (UAM) environments where high traffic density and lo…
Sequential Resource Trading Using Comparison-Based Gradient Estimation
Surya Murthy, Mustafa O. Karabag, Ufuk Topcu
We study sequential multi-issue trading between two greedily rational agents who exchange resources from a finite set of categories. Each agent's utility depends on its allocation,…
Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries
Peter Du, Surya Murthy, Katherine Driggs-Campbell
As advances in artificial intelligence enable increasingly capable learning-based autonomous agents, it becomes more challenging for human observers to efficiently construct a ment…