Prabhat Nagarajan

14 papers A* 1A 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Analysis of Action-Value Temporal-Difference Methods That Learn State Values. CoRR Brett Daley, Prabhat Nagarajan, Martha White, Marlos C. Machado
2025	J	`jnl`	Double Q-learning for Value-based Deep Reinforcement Learning, Revisited. CoRR Prabhat Nagarajan, Martha White, Marlos C. Machado
2023	J	`jnl`	When is Offline Policy Selection Sample Efficient for Reinforcement Learning? CoRR Vincent Liu, Prabhat Nagarajan, Andrew Patterson, Martha White
2021	J	`jnl`	ChainerRL: A Deep Reinforcement Learning Library. J. Mach. Learn. Res. Yasuhiro Fujita, Prabhat Nagarajan, Toshiki Kataoka, Takahiro Ishikawa
2021	—	`conf`	Periodic Intra-ensemble Knowledge Distillation for Reinforcement Learning. ECML/PKDD (1) Zhang-Wei Hong, Prabhat Nagarajan, Guilherme Maeda
2021	—	`conf`	Reconnaissance for Reinforcement Learning with Safety Constraints. ECML/PKDD (2) Shin-ichi Maeda, Hayato Watahiki, Yi Ouyang, Shintarou Okada, Masanori Koyama, Prabhat Nagarajan
2020	A	`conf`	Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators. IROS Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu, Prabhat Nagarajan, Shimpei Masuda, Mario Ynocente Castro
2020	J	`jnl`	Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators. CoRR Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu, Prabhat Nagarajan, Shimpei Masuda, Mario Ynocente Castro
2020	J	`jnl`	Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning. CoRR Zhang-Wei Hong, Prabhat Nagarajan, Guilherme Maeda
2019	J	`jnl`	ChainerRL: A Deep Reinforcement Learning Library. CoRR Yasuhiro Fujita, Toshiki Kataoka, Prabhat Nagarajan, Takahiro Ishikawa
2019	A*	`conf`	Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations. ICML Daniel S. Brown, Wonjoon Goo, Prabhat Nagarajan, Scott Niekum
2019	J	`jnl`	Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations. CoRR Daniel S. Brown, Wonjoon Goo, Prabhat Nagarajan, Scott Niekum
2019	J	`jnl`	Learning Latent State Spaces for Planning through Reward Prediction. CoRR Aaron J. Havens, Yi Ouyang, Prabhat Nagarajan, Yasuhiro Fujita
2018	J	`jnl`	Deterministic Implementations for Reproducibility in Deep Reinforcement Learning. CoRR Prabhat Nagarajan, Garrett Warnell, Peter Stone