---
title: "Who cites Hindsight Experience Replay — 111 citing papers"
description: "111 papers of the Elamur Research library cite «Hindsight Experience Replay», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/andrychowicz-2017-hindsight-experience-replay/cited-by/"
---
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# Who cites «Hindsight Experience Replay»

111 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · [← back to «Hindsight Experience Replay»](https://md.research.elamur.ai/free/en/papers/andrychowicz-2017-hindsight-experience-replay/)

1. [**On the Opportunities and Risks of Foundation Models arXiv:2108.07258**Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.*2021 · 3,160 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/)
2. [**Scaling Relationship on Learning Mathematical Reasoning with Large Language Models arXiv:2308.01825**Zheng Yuan, Hongyi Yuan, Chengpeng Li, et al.*2023 · 261 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2023-scaling-relationship-learning-mathematical-reasoning/)
3. [**Autoformalization with Large Language Models arXiv:2205.12615**Yuhuai Wu, Albert Q. Jiang, Wenda Li, et al.*2022 · 204 citations*](https://md.research.elamur.ai/free/en/papers/wu-2022-autoformalization-large-language-models/)
4. [**Automatic Goal Generation for Reinforcement Learning Agents arXiv:1705.06366**Carlos Florensa, David Held, Xinyang Geng, et al.*2017 · 181 citations*](https://md.research.elamur.ai/free/en/papers/florensa-2017-automatic-goal-generation-reinforcement-learning/)
5. [**Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization arXiv:2210.01241**Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.*2022 · 174 citations*](https://md.research.elamur.ai/free/en/papers/ramamurthy-2022-reinforcement-learning-natural-language-processing/)
6. [**Understanding the Effects of RLHF on LLM Generalisation and Diversity arXiv:2310.06452**Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.*2023 · 143 citations*](https://md.research.elamur.ai/free/en/papers/kirk-2023-understanding-effects-rlhf-llm-generalisation/)
7. [**Chain of Hindsight Aligns Language Models with Feedback arXiv:2302.02676**Hao Liu, Carmelo Sferrazza, Pieter Abbeel*2023 · 126 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-chain-hindsight-aligns-language-models/)
8. [**Pre-Trained Language Models for Interactive Decision-Making arXiv:2202.01771**Shuang Li, Xavier Puig, Chris Paxton, et al.*2022 · 124 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-pre-trained-language-models-interactive/)
9. [**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/)
10. [**Gymnasium: A Standard Interface for Reinforcement Learning Environments arXiv:2407.17032**Mark Towers, Ariel Kwiatkowski, Jordan Terry, et al.*2024 · 113 citations*](https://md.research.elamur.ai/free/en/papers/towers-2024-gymnasium-standard-interface-reinforcement-learning/)
11. [**Reinforcement Learning via Self-Distillation arXiv:2601.20802**Jonas Hubotter, Frederike Lubeck, Lejs Behric, et al.*2026 · 74 citations*](https://md.research.elamur.ai/free/en/papers/hubotter-2026-reinforcement-learning-self-distillation/)
12. [**CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization arXiv:2310.10134**Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter Jansen, et al.*2023 · 34 citations*](https://md.research.elamur.ai/free/en/papers/majumder-2023-clin-continually-learning-language-agent/)
13. **[CRPS: Curriculum Replay via Progressive Suffixes from Successful Trajectories for Long-Horizon LLM Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-crps-curriculum-replay-progressive-suffixes/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zijing Zhang, Xiajie Yang*2026*
14. **[From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning](https://md.research.elamur.ai/free/en/papers/zhan-2026-answers-arguments-trustworthy-clinical-diagnostic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chen Zhan, Xiaoyu Tan, Gengchen Ma, et al.*2026*

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

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