Abhinav Bhatia

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 7

Top Topics

Reinforcement Learning

Top Venues

Publications

Abhinav Bhatia, Samer B. Nashed, Shlomo Zilberstein
. CoRR (2023)
Abhinav Bhatia, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein
Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning. ICAPS (2022)
Samer B. Nashed, Justin Svegliato, Abhinav Bhatia, Stuart Russell, Shlomo Zilberstein
Selecting the Partial State Abstractions of MDPs: A Metareasoning Approach with Deep Reinforcement Learning. IROS (2022)
Abhinav Bhatia, Philip S. Thomas, Shlomo Zilberstein
Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL. CoRR (2022)
Abhinav Bhatia, Justin Svegliato, Shlomo Zilberstein
On the Benefits of Randomly Adjusting Anytime Weighted A. SOCS (2021)
Abhinav Bhatia, Pradeep Varakantham, Akshat Kumar
Resource Constrained Deep Reinforcement Learning. ICAPS (2019)
Abhinav Bhatia, Pradeep Varakantham, Akshat Kumar
Resource Constrained Deep Reinforcement Learning. CoRR (2018)