---
title: "Who cites Deep Exploration via Bootstrapped DQN"
description: "56 papers of the Elamur Research library cite «Deep Exploration via Bootstrapped DQN», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/osband-2016-deep-exploration-bootstrapped-dqn/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Deep Exploration via Bootstrapped DQN](https://md.research.elamur.ai/free/en/papers/osband-2016-deep-exploration-bootstrapped-dqn/) / cited by

# Who cites «Deep Exploration via Bootstrapped DQN»

56 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «Deep Exploration via Bootstrapped DQN»](https://md.research.elamur.ai/free/en/papers/osband-2016-deep-exploration-bootstrapped-dqn/)

1. [**PathNet: Evolution Channels Gradient Descent in Super Neural Networks arXiv:1701.08734**Chrisantha Fernando, Dylan Banarse, Charles Blundell, et al.*2017 · 667 citations*](https://md.research.elamur.ai/free/en/papers/fernando-2017-pathnet-evolution-channels-gradient-descent/)
2. [**Hindsight Experience Replay arXiv:1707.01495**Marcin Andrychowicz, Filip Wolski, Alex Ray, et al.*2017 · 421 citations*](https://md.research.elamur.ai/free/en/papers/andrychowicz-2017-hindsight-experience-replay/)
3. **[Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents](https://md.research.elamur.ai/free/en/papers/machado-2017-revisiting-arcade-learning-environment-evaluation/) [Journal of Artificial Intelligence Research](https://md.research.elamur.ai/free/en/venues/journal-of-artificial-intelligence-research/)**Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, et al.*2017 · 393 citations*
4. [**Exploration by Random Network Distillation arXiv:1810.12894**Yuri Burda, Harrison Edwards, Amos Storkey, et al.*2018 · 302 citations*](https://md.research.elamur.ai/free/en/papers/burda-2018-exploration-random-network-distillation/)
5. **[From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood](https://md.research.elamur.ai/free/en/papers/guu-2017-language-programs-bridging-reinforcement-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kelvin Guu, Panupong Pasupat, Evan Liu, et al.*2017 · 236 citations*
6. [**Concrete Problems in AI Safety arXiv:1606.06565**Dario Amodei, Chris Olah, Jacob Steinhardt, et al.*2016 · 232 citations*](https://md.research.elamur.ai/free/en/papers/amodei-2016-concrete-problems-ai-safety/)
7. [**Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration arXiv:1802.08802**Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, et al.*2018 · 119 citations*](https://md.research.elamur.ai/free/en/papers/liu-2018-reinforcement-learning-web-interfaces-using/)
8. **[Large Language Model-Enhanced Multi-Armed Bandits](https://md.research.elamur.ai/free/en/papers/sun-2026-large-language-model-enhanced-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiahang Sun, Zhiyong Wang, Runhan Yang, et al.*2026 · 1 citation*
9. **[AURORA: Neuro-Symbolic Continual Indexing for Evolving RAG Systems](https://md.research.elamur.ai/free/en/papers/saravanan-2026-aurora-neuro-symbolic-continual-indexing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Manoj Saravanan, Rohit Kumar Salla, Ramya Manasa Amancherla*2026*

47 more papers of our library cite it; they have no page here yet.

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