Abhinav Bhatia

According to our database, Abhinav Bhatia authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

RL³: Boosting Meta Reinforcement Learning via RL inside RL².

Abhinav Bhatia, Samer B. Nashed, Shlomo Zilberstein

CoRR, 2023

2022

Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL.

Abhinav Bhatia, Philip S. Thomas, Shlomo Zilberstein

CoRR, 2022

Selecting the Partial State Abstractions of MDPs: A Metareasoning Approach with Deep Reinforcement Learning.

Samer B. Nashed, Justin Svegliato, Abhinav Bhatia, Stuart Russell, Shlomo Zilberstein

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning.

Abhinav Bhatia, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021

On the Benefits of Randomly Adjusting Anytime Weighted A.

Abhinav Bhatia, Justin Svegliato, Shlomo Zilberstein

Proceedings of the Fourteenth International Symposium on Combinatorial Search, 2021

2019

Resource Constrained Deep Reinforcement Learning.

Abhinav Bhatia, Pradeep Varakantham, Akshat Kumar

Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019