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Shashank Pathak
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2020 – today
- 2024
- [i3]Shashank Pathak:
GFLean: An Autoformalisation Framework for Lean via GF. CoRR abs/2404.01234 (2024) - [i2]Shashank Pathak, Guohui Lin:
Pre-trained protein language model for codon optimization. CoRR abs/2412.10411 (2024)
2010 – 2019
- 2019
- [j4]Amir Aly, Shashank Pathak, Sean Andrist, Armando Tacchella:
Social cognitive systems in smart environments: Approaches for learning, reasoning, and adaptation. Cogn. Syst. Res. 58: 230-233 (2019) - 2018
- [j3]Shashank Pathak, Luca Pulina, Armando Tacchella:
Verification and repair of control policies for safe reinforcement learning. Appl. Intell. 48(4): 886-908 (2018) - [j2]Shashank Pathak, Antony Thomas, Vadim Indelman:
A unified framework for data association aware robust belief space planning and perception. Int. J. Robotics Res. 37(2-3): 287-315 (2018) - [c13]Shashank Pathak, Suvam Bag, Vijay Nadkarni:
A Generalised Method for Adaptive Longitudinal Control Using Reinforcement Learning. IAS 2018: 464-479 - 2017
- [c12]Shashank Pathak, Antony Thomas, Vadim Indelman:
Nonmyopic data association aware belief space planning for robust active perception. ICRA 2017: 4487-4494 - 2016
- [j1]Shashank Pathak, Luca Pulina, Armando Tacchella:
Evaluating probabilistic model checking tools for verification of robot control policies. AI Commun. 29(2): 287-299 (2016) - [c11]Shashank Pathak, Antony Thomas, Asaf Feniger, Vadim Indelman:
DA-BSP: Towards Data Association Aware Belief Space Planning for Robust Active Perception. ECAI 2016: 1610-1611 - [c10]Shashank Pathak, Sadegh Esmaeil Zadeh Soudjani, Vadim Indelman, Alessandro Abate:
Formal and Data Association Aware Robust Belief Space Planning. STAIRS 2016: 87-98 - [i1]Shashank Pathak, Antony Thomas, Asaf Feniger, Vadim Indelman:
Robust Active Perception via Data-association aware Belief Space planning. CoRR abs/1606.05124 (2016) - 2015
- [c9]Shashank Pathak, Luca Pulina, Armando Tacchella:
A Case for Robust AI in Robotics. AIRO@AI*IA 2015: 94-103 - [c8]Shashank Pathak, Luca Pulina, Armando Tacchella:
Testing a Learn-Verify-Repair Approach for Safe Human-Robot Interaction. AI*IA 2015: 260-273 - [c7]Shashank Pathak, Erika Ábrahám, Nils Jansen, Armando Tacchella, Joost-Pieter Katoen:
A Greedy Approach for the Efficient Repair of Stochastic Models. NFM 2015: 295-309 - 2014
- [c6]Giuseppe Cicala, Ali Khalili, Giorgio Metta, Lorenzo Natale, Shashank Pathak, Luca Pulina, Armando Tacchella:
Engineering Approaches and Methods to Verify Software in Autonomous Systems. IAS 2014: 1683-1700 - [c5]Shashank Pathak, Giorgio Metta, Armando Tacchella:
Is verification a requisite for safe adaptive robots? SMC 2014: 3399-3402 - 2013
- [c4]Shashank Pathak, Luca Pulina, Giorgio Metta, Armando Tacchella:
How to Abstract Intelligence? (If Verification Is in Order). AAAI Fall Symposia 2013 - [c3]Shashank Pathak, Luca Pulina, Giorgio Metta, Armando Tacchella:
Ensuring safety of policies learned by reinforcement: Reaching objects in the presence of obstacles with the iCub. IROS 2013: 170-175 - 2010
- [c2]Giorgio Metta, Lorenzo Natale, Shashank Pathak, Luca Pulina, Armando Tacchella:
Safe and effective learning: A case study. ICRA 2010: 4809-4814 - [c1]Giorgio Metta, Lorenzo Natale, Shashank Pathak, Luca Pulina, Armando Tacchella:
Safe Learning with Real-Time Constraints: A Case Study. IEA/AIE (1) 2010: 133-142
Coauthor Index
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