no code implementations • NAACL (sdp) 2021 • Yash Gupta, Pawan Sasanka Ammanamanchi, Shikha Bordia, Arjun Manoharan, Deepak Mittal, Ramakanth Pasunuru, Manish Shrivastava, Maneesh Singh, Mohit Bansal, Preethi Jyothi
Large pretrained models have seen enormous success in extractive summarization tasks.
no code implementations • 15 Oct 2021 • Harsha Kokel, Arjun Manoharan, Sriraam Natarajan, Balaraman Ravindran, Prasad Tadepalli
State abstraction enables sample-efficient learning and better task transfer in complex reinforcement learning environments.
no code implementations • 9 Sep 2019 • Arjun Manoharan, Rahul Ramesh, Balaraman Ravindran
Option discovery and skill acquisition frameworks are integral to the functioning of a Hierarchically organized Reinforcement learning agent.