| Extrapolating beyond suboptimal demonstrations via inverse reinforcement learning from observations D Brown, W Goo, P Nagarajan, S Niekum International Conference on Machine Learning, 783-792, 2019 | 527 | 2019 |
| ChainerRL: A Deep Reinforcement Learning Library Y Fujita, P Nagarajan, T Kataoka, T Ishikawa Journal of Machine Learning Research 22 (77), 1-14, 2021 | 179 | 2021 |
| Deterministic Implementations for Reproducibility in Deep Reinforcement Learning P Nagarajan, G Warnell, P Stone AAAI 2019 Workshop on Reproducible AI, 2019 | 78 | 2019 |
| The Impact of Nondeterminism on Reproducibility in Deep Reinforcement Learning P Nagarajan, G Warnell, P Stone 2nd Reproducibility in Machine Learning Workshop at ICML 2018, Stockholm, Sweden, 2018 | 40 | 2018 |
| Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators Y Fujita, K Uenishi, A Ummadisingu, P Nagarajan, S Masuda, MY Castro 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020 | 26 | 2020 |
| Learning Latent State Spaces for Planning through Reward Prediction A Havens, Y Ouyang, P Nagarajan, Y Fujita Workshop on Deep Reinforcement Learning at the 33rd Conference on Neural …, 2019 | 9 | 2019 |
| Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning ZW Hong, P Nagarajan, G Maeda European Conference on Machine Learning and Principles and Practice of …, 2021 | 7 | 2021 |
| When is Offline Policy Selection Sample Efficient for Reinforcement Learning? V Liu, P Nagarajan, A Patterson, M White International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2026 | 3 | 2026 |
| Reconnaissance for Reinforcement Learning with Safety Constraints S Maeda, H Watahiki, Y Ouyang, S Okada, M Koyama, P Nagarajan European Conference on Machine Learning and Principles and Practice of …, 2021 | 3 | 2021 |
| An Analysis of Action-Value Temporal-Difference Methods That Learn State Values B Daley, P Nagarajan, M White, MC Machado Reinforcement Learning Journal (RLJ), 2025 | 1 | 2025 |
| Double Q-learning for Value-based Deep Reinforcement Learning, Revisited P Nagarajan, M White, MC Machado arXiv preprint arXiv:2507.00275, 2025 | 1 | 2025 |
| Swarm-inspired Reinforcement Learning via Collaborative Inter-agent Knowledge Distillation ZW Hong, P Nagarajan, G Maeda Workshop on Deep Reinforcement Learning at the 33rd Conference on Neural …, 2019 | | 2019 |
| Nondeterminism as a Reproducibility Challenge for Deep Reinforcement Learning PM Nagarajan The University of Texas at Austin, 2018 | | 2018 |
Yasuhiro FujitaPreferred Networks, Inc.Verified email at preferred.jp
