activity
20172026
most citedSurprise-Based Intrinsic Motivation for Deep Reinforcement Learning

99 citations · 100 across the 18 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.RO2024

α-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function

Dvij Kalaria, Chinmay Maheshwari, Shankar Sastry

Autonomous racing extends beyond the challenge of controlling a racecar at its physical limits. Professional racers employ strategic maneuvers to outwit other competing opponents t…

eess.SY2024

Privacy Preserving Mechanisms for Coordinating Airspace Usage in Advanced Air Mobility

Chinmay Maheshwari, Maria G. Mendoza, Victoria Marie Tuck +5

Advanced Air Mobility (AAM) operations are expected to transform air transportation while challenging current air traffic management practices. By introducing a novel market-based…

cs.MA2024★ 1 cited

Convergence of Decentralized Actor-Critic Algorithm in General-sum Markov Games

Chinmay Maheshwari, Manxi Wu, Shankar Sastry

Markov games provide a powerful framework for modeling strategic multi-agent interactions in dynamic environments. Traditionally, convergence properties of decentralized learning a…

cs.GT2024

Adaptive Incentive Design with Learning Agents

Chinmay Maheshwari, Kshitij Kulkarni, Manxi Wu +1

We propose an adaptive incentive mechanism that learns the optimal incentives in environments where players continuously update their strategies. Our mechanism updates incentives b…

math.OC2024

Understanding the Impact of Coalitions between EV Charging Stations

Sukanya Kudva, Kshitij Kulkarni, Chinmay Maheshwari +2

The rapid growth of electric vehicles (EVs) is driving the expansion of charging infrastructure globally. As charging stations become ubiquitous, their substantial electricity cons…

eess.SY2024

Incentive-Compatible Vertiport Reservation in Advanced Air Mobility: An Auction-Based Approach

Pan-Yang Su, Chinmay Maheshwari, Victoria Tuck +1

The rise of advanced air mobility (AAM) is expected to become a multibillion-dollar industry in the near future. Market-based mechanisms are touted to be an integral part of AAM op…

cs.GT2024

Congestion Pricing for Efficiency and Equity: Theory and Applications to the San Francisco Bay Area

Chinmay Maheshwari, Kshitij Kulkarni, Druv Pai +3

Congestion pricing, while adopted by many cities to alleviate traffic congestion, raises concerns about widening socioeconomic disparities due to its disproportionate impact on low…

cs.CR2024

Hacking Predictors Means Hacking Cars: Using Sensitivity Analysis to Identify Trajectory Prediction Vulnerabilities for Autonomous Driving Security

Marsalis Gibson, David Babazadeh, Claire Tomlin +1

Adversarial attacks on learning-based multi-modal trajectory predictors have already been demonstrated. However, there are still open questions about the effects of perturbations o…