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Rachita Chandra
Publication Activity (10 Years)
Years Active: 2018-2021
Publications (10 Years): 6
Top Topics
Reinforcement Learning
Policy Evaluation
Markov Decision Problems
Agent Learns
Top Venues
CoRR
IBM J. Res. Dev.
BioNLP@NAACL-HLT
AMIA
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Publications
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Preethi Raghavan
,
Jennifer J. Liang
,
Diwakar Mahajan
,
Rachita Chandra
,
Peter Szolovits
emrKBQA: A Clinical Knowledge-Base Question Answering Dataset.
BioNLP@NAACL-HLT
(2021)
Parthasarathy Suryanarayanan
,
Prithwish Chakraborty
,
Piyush Madan
,
Kibichii Bore
,
William Ogallo
,
Rachita Chandra
,
Mohamed Ghalwash
,
Italo Buleje
,
Sekou L. Remy
,
Shilpa Mahatma
,
Pablo Meyer
,
Jianying Hu
Disease Progression Modeling Workbench 360.
CoRR
(2021)
Rachita Chandra
,
Preethi Raghavan
,
Jennifer J. Liang
,
Diwakar Mahajan
,
Peter Szolovits
emrKBQA: Creating a Clinical Knowledge-Base Question Answering Dataset.
AMIA
(2021)
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)
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
,
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)