Manish Prajapat

According to our database, Manish Prajapat authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

SMART: Self-learning Meta-strategy Agent for Reasoning Tasks.

Rongxing Liu, Kumar Shridhar, Manish Prajapat, Patrick Xia, Mrinmaya Sachan

CoRR, 2024

Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework.

Manish Prajapat, Amon Lahr, Johannes Köhler, Andreas Krause, Melanie N. Zeilinger

CoRR, 2024

Safe Guaranteed Exploration for Non-linear Systems.

Manish Prajapat, Johannes Köhler, Matteo Turchetta, Andreas Krause, Melanie N. Zeilinger

CoRR, 2024

Global Reinforcement Learning : Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods.

Riccardo De Santi, Manish Prajapat, Andreas Krause

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Submodular Reinforcement Learning.

Manish Prajapat, Mojmir Mutny, Melanie N. Zeilinger, Andreas Krause

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Near-Optimal Multi-Agent Learning for Safe Coverage Control.

Manish Prajapat, Matteo Turchetta, Melanie N. Zeilinger, Andreas Krause

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Competitive policy optimization.

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

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

AMZ Driverless: The full autonomous racing system.

Juraj Kabzan, Miguel de la Iglesia Valls, Victor J. F. Reijgwart, Hubertus Franciscus Cornelis Hendrikx, Claas Ehmke, Manish Prajapat, Andreas Bühler, Nikhil Bharadwaj Gosala, Mehak Gupta, Ramya Sivanesan, Ankit Dhall, Eugenio Chisari, Napat Karnchanachari, Sonja Brits, Manuel Dangel, Inkyu Sa, Renaud Dubé, Abel Gawel, Mark Pfeiffer, Alexander Liniger, John Lygeros, Roland Siegwart

J. Field Robotics, 2020

2019

Redundant Perception and State Estimation for Reliable Autonomous Racing.

Nikhil Bharadwaj Gosala, Andreas Bühler, Manish Prajapat, Claas Ehmke, Mehak Gupta, Ramya Sivanesan, Abel Gawel, Mark Pfeiffer, Mathias Bürki, Inkyu Sa, Renaud Dubé, Roland Siegwart

Proceedings of the International Conference on Robotics and Automation, 2019