Ritesh Noothigattu

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 19

Top Topics

Decision Making

Reinforcement Learning

Pairwise Comparisons

Top Venues

Publications

Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia
Loss Functions, Axioms, and Peer Review. J. Artif. Intell. Res. 70 (2021)
Ritesh Noothigattu, Tom Yan, Ariel D. Procaccia
Inverse Reinforcement Learning From Like-Minded Teachers. AAAI (2021)
Ritesh Noothigattu, Dominik Peters, Ariel D. Procaccia
Axioms for Learning from Pairwise Comparisons. NeurIPS (2020)
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
Teaching AI Agents Ethical Values Using Reinforcement Learning and Policy Orchestration. IJCAI (2019)
Min Kyung Lee, Daniel Kusbit, Anson Kahng, Ji Tae Kim, Xinran Yuan, Allissa Chan, Daniel See, Ritesh Noothigattu, Siheon Lee, Alexandros Psomas, Ariel D. Procaccia
WeBuildAI: Participatory Framework for Algorithmic Governance. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Maria-Florina Balcan, Travis Dick, Ritesh Noothigattu, Ariel D. Procaccia
Envy-Free Classification. NeurIPS (2019)
Anson Kahng, Min Kyung Lee, Ritesh Noothigattu, Ariel D. Procaccia, Christos-Alexandros Psomas
Statistical Foundations of Virtual Democracy. ICML (2019)
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
Teaching AI agents ethical values using reinforcement learning and policy orchestration. IBM J. Res. Dev. 63 (4/5) (2019)
Ritesh Noothigattu, Snehalkumar (Neil) S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia
A Voting-Based System for Ethical Decision Making. AAAI (2018)
Amulya Yadav, Ritesh Noothigattu, Eric Rice, Laura Onasch-Vera, Leandro Soriano Marcolino, Milind Tambe
Please be an Influencer?: Contingency-Aware Influence Maximization. AAMAS (2018)
Ritesh Noothigattu, Djallel Bouneffouf, Nicholas Mattei, Rachita Chandra, Piyush Madan, Kush R. Varshney, Murray Campbell, Moninder Singh, Francesca Rossi
Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration. CoRR (2018)
Ritesh Noothigattu, Nihar B. Shah, Ariel D. Procaccia
Choosing How to Choose Papers. CoRR (2018)
Nika Haghtalab, Ritesh Noothigattu, Ariel D. Procaccia
Weighted Voting Via No-Regret Learning. AAAI (2018)
Maria-Florina Balcan, Travis Dick, Ritesh Noothigattu, Ariel D. Procaccia
Envy-Free Classification. CoRR (2018)
Nika Haghtalab, Ritesh Noothigattu, Ariel D. Procaccia
Weighted Voting Via No-Regret Learning. CoRR (2017)
Ritesh Noothigattu, Snehalkumar (Neil) S. Gaikwad, Edmond Awad, Sohan Dsouza, Iyad Rahwan, Pradeep Ravikumar, Ariel D. Procaccia
A Voting-Based System for Ethical Decision Making. CoRR (2017)
Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. CoRR (2017)
Ankit Anand, Ritesh Noothigattu, Parag Singla, Mausam
Non-Count Symmetries in Boolean & Multi-Valued Prob. Graphical Models. AISTATS (2017)
Ankit Anand, Ritesh Noothigattu, Mausam, Parag Singla
OGA-UCT: On-the-Go Abstractions in UCT. ICAPS (2016)