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Abhinav Bhatia
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Resource constrained deep reinforcement learning
A Bhatia, P Varakantham, A Kumar
Proceedings of the International Conference on Automated Planning and …, 2019
462019
Tuning the hyperparameters of anytime planning: A metareasoning approach with deep reinforcement learning
A Bhatia, J Svegliato, SB Nashed, S Zilberstein
Proceedings of the 32nd International Conference on Automated Planning and …, 2022
112022
On the Benefits of Randomly Adjusting Anytime Weighted A*
A Bhatia, J Svegliato, S Zilberstein
Proceedings of the 14th Symposium on Combinatorial Search (SoCS), 2021
102021
Tuning the Hyperparameters of Anytime Planning: A Deep Reinforcement Learning Approach
A Bhatia, J Svegliato, S Zilberstein
ICAPS 2021 Workshop on Heuristics and Search for Domain-independent Planning …, 2021
52021
Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL
A Bhatia, PS Thomas, S Zilberstein
arXiv preprint arXiv:2206.02380, 2022
32022
Selecting the partial state abstractions of MDPs: A metareasoning approach with deep reinforcement learning
SB Nashed, J Svegliato, A Bhatia, S Russell, S Zilberstein
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
32022
RL^3: Boosting Meta Reinforcement Learning via RL inside RL^2
A Bhatia, SB Nashed, S Zilberstein
NeurIPS 2023 Workshop on Generalization in Planning, 2023
22023
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