Login / Signup
Arjun Manoharan
Publication Activity (10 Years)
Years Active: 2019-2021
Publications (10 Years): 5
Top Topics
Main Contribution
Partially Observable
Probabilistic Logic
Reinforcement Learning
Top Venues
CoRR
ICAPS
ECML/PKDD (2)
LSSC
</>
Publications
</>
Alexander Iliev
,
Ameya Mote
,
Arjun Manoharan
Multi-lingual Emotion Classification Using Convolutional Neural Networks.
LSSC
(2021)
Harsha Kokel
,
Arjun Manoharan
,
Sriraam Natarajan
,
Balaraman Ravindran
,
Prasad Tadepalli
RePReL: Integrating Relational Planning and Reinforcement Learning for Effective Abstraction.
ICAPS
(2021)
Harsha Kokel
,
Arjun Manoharan
,
Sriraam Natarajan
,
Balaraman Ravindran
,
Prasad Tadepalli
Dynamic probabilistic logic models for effective abstractions in RL.
CoRR
(2021)
Arjun Manoharan
,
Rahul Ramesh
,
Balaraman Ravindran
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning.
ECML/PKDD (2)
(2020)
Arjun Manoharan
,
Rahul Ramesh
,
Balaraman Ravindran
Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning.
CoRR
(2019)