Divya Grover

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 7

Top Topics

Partially Observable Markov Decision Process

Reinforcement Learning

Top Venues

Publications

Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge
Minimax-Bayes Reinforcement Learning. CoRR (2023)
Thomas Kleine Buening, Christos Dimitrakakis, Hannes Eriksson, Divya Grover, Emilio Jorge
Minimax-Bayes Reinforcement Learning. AISTATS (2023)
Divya Grover, Christos Dimitrakakis
Adaptive Belief Discretization for POMDP Planning. CoRR (2021)
Christos Dimitrakakis, Hannes Eriksson, Emilio Jorge, Divya Grover, Debabrota Basu
Inferential Induction: Joint Bayesian Estimation of MDPs and Value Functions. CoRR (2020)
Divya Grover, Debabrota Basu, Christos Dimitrakakis
Bayesian Reinforcement Learning via Deep, Sparse Sampling. AISTATS (2020)
Emilio Jorge, Hannes Eriksson, Christos Dimitrakakis, Debabrota Basu, Divya Grover
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning. ICBINB@NeurIPS (2020)
Divya Grover, Christos Dimitrakakis
Deeper & Sparser Exploration. CoRR (2019)