Atrial Fibrillation Stratification Via Super-Resolution Analysis of Fibrillatory Waves. - Saumitra Mishra; Sreehari Rammohan; Khalid Z. Rajab; Gurpreet Dhillon; Pier Lambiase; Ross Hunter; Elaine Chew (CinC, 2019)

Value-Based Reinforcement Learning for Continuous Control Robotic Manipulation in Multi-Task Sparse Reward Settings. - Sreehari Rammohan; Shangqun Yu; Bowen He; Eric Hsiung; Eric Rosen; Stefanie Tellex; George Konidaris 001 (CoRR, 2021)

Does DQN really learn? Exploring adversarial training schemes in Pong. - Bowen He; Sreehari Rammohan; Jessica Zosa Forde; Michael L. Littman (CoRR, 2022)

Hierarchical Reinforcement Learning of Locomotion Policies in Response to Approaching Objects: A Preliminary Study. - Shangqun Yu; Sreehari Rammohan; Kaiyu Zheng; George Dimitri Konidaris (CoRR, 2022)

Learning robot motor skills with mixed reality. - Eric Rosen; Sreehari Rammohan; Devesh K. Jha (CoRR, 2022)

Q-functionals for Value-Based Continuous Control. - Samuel Lobel; Sreehari Rammohan; Bowen He; Shangqun Yu; George Konidaris 001 (AAAI, 2023)

Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning. - Akhil Bagaria; Ben Abbatematteo; Omer Gottesman; Matt Corsaro; Sreehari Rammohan; George Dimitri Konidaris (NeurIPS, 2023)

Hierarchical Empowerment: Towards Tractable Empowerment-Based Skill-Learning. - Andrew Levy; Sreehari Rammohan; Alessandro Allievi; Scott Niekum; George Konidaris 001 (CoRR, 2023)

Composable Interaction Primitives: A Structured Policy Class for Efficiently Learning Sustained-Contact Manipulation Skills. - Ben Abbatematteo; Eric Rosen; Skye Thompson; Tuluhan Akbulut; Sreehari Rammohan; George Dimitri Konidaris (ICRA, 2024)