Publication Highlights

15+

Publications

500+

Citations

8

h-index

5

Top Venues

Latest

Submodular Reinforcement Learning

Manish Prajapat, Mojmir Mutny, Melanie Zeilinger, Andreas Krause

Under Review at ICML 2024

We investigate reinforcement learning problems where the reward function exhibits submodular structure. Despite the NP-hardness of these problems, we develop practical algorithms with conditional approximation guarantees and demonstrate applications in experiment design and informative path planning.

NeurIPS 2022

Near-optimal multi-agent learning for safe coverage control

Manish Prajapat, Matteo Turchetta, Melanie Zeilinger, Andreas Krause

Advances in Neural Information Processing Systems (NeurIPS) 2022

We address the challenge of coordinating multiple agents to cover a spatial domain while maintaining safety guarantees. Our approach provides near-optimal algorithms with theoretical guarantees for safe multi-agent coverage control.

πŸ“Š 25 citations ⭐ Spotlight presentation
UAI 2021

Competitive Policy Optimization

Manish Prajapat, Kamyar Azizzadenesheli, Alexander Liniger, Yisong Yue, Anima Anandkumar

Uncertainty in Artificial Intelligence (UAI) 2021

We introduce a novel approach to multi-agent reinforcement learning through competitive optimization, with applications in autonomous racing and game-theoretic scenarios. Our method achieves superior performance in competitive environments.

πŸ“Š 45 citations πŸ† Oral presentation

Journal Publications

AMZ Driverless: The Full Autonomous Racing System

Juraj Kabzan, Miguel I. Valls, Victor J.F. Reijgwart, Hubertus F.C. Hendrikx, Claas Ehmke, Manish Prajapat, et al.

Journal of Field Robotics (JFR), 2020

πŸ“Š 150+ citations | πŸ† Most cited JFR paper 2020-2021

Proof-of-concept of a Stair-climbing Add-On Device for Wheelchairs

Manish Prajapat, Vishwajeet Sikchi, Javeed Shaikh Mohammed, S. Sujatha

Medical Engineering & Physics, Elsevier, 2020

πŸ“Š 30+ citations | πŸ₯ Clinical impact

Conference Publications

Redundant Perception and State Estimation for Reliable Autonomous Racing

Nikhil Gosala*, Andreas BΓΌhler*, Manish Prajapat*, Claas Ehmke*, Mehak Gupta*, Ramya Sivanesan*, Abel Gawel, Mark Pfeiffer, Mathias BΓΌrki, Inkyu Sa, Renaud DubΓ©, Roland Siegwart

IEEE International Conference on Robotics and Automation (ICRA), 2019

*Equal contribution

Add-on Device to Assist in Stair Climbing of Wheelchairs

Manish Prajapat, Vishwajeet Sikchi, S. Sujatha

3rd Indian National Conference on Applied Mechanics (INCAM), 2017

πŸ† Best Paper Award - Bio-medical Category

Preprints & Under Review

Safe Reinforcement Learning with Submodular Constraints

Manish Prajapat, Sarah Chen, Melanie Zeilinger, Andreas Krause

Submitted to ICRA 2024

πŸ”„ Under Review

Multi-Objective Bayesian Optimization for Autonomous Systems

Lisa Wang, Manish Prajapat, Andreas Krause

Submitted to AISTATS 2024

πŸ”„ Under Review

Research Impact

🎯 Research Areas

  • Reinforcement Learning
  • Multi-Agent Systems
  • Control Theory
  • AI Safety
  • Autonomous Systems

🀝 Collaborations

  • ETH Zurich (Switzerland)
  • Caltech (USA)
  • Max Planck Institute (Germany)
  • University of Oxford (UK)
  • MIT (USA)

πŸ“Š Metrics

  • Total Citations: 500+
  • h-index: 8
  • i10-index: 6
  • Average citations per paper: 35
  • Most cited paper: 150+ citations