---
title: "Who cites Jordan Terry — 66 papers of our library"
description: "66 papers of the Elamur Research library cite the works of Jordan Terry, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/jordan-terry/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jordan-terry/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Jordan Terry](https://md.research.elamur.ai/free/en/authors/jordan-terry/) / cited by

# Who cites Jordan Terry

70 citations of their works from 66 papers of our library (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← Jordan Terry](https://md.research.elamur.ai/free/en/authors/jordan-terry/)

1. [**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/)
2. [**VinePPO: Refining Credit Assignment in RL Training of LLMs arXiv:2410.01679**Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, et al.*2024 · 63 citations*](https://md.research.elamur.ai/free/en/papers/kazemnejad-2024-vineppo-refining-credit-assignment-rl/)
3. [**MLGym: A New Framework and Benchmark for Advancing AI Research Agents arXiv:2502.14499**Deepak Nathani, Lovish Madaan, Nicholas Roberts, et al.*2025 · 50 citations*](https://md.research.elamur.ai/free/en/papers/nathani-2025-mlgym-new-framework-benchmark/)
4. **[DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents](https://md.research.elamur.ai/free/en/papers/jansen-2024-discoveryworld-virtual-environment-developing/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Peter Jansen, Marc-Alexandre Côté, Tushar Khot, et al.*2024 · 43 citations*
5. **[WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment](https://md.research.elamur.ai/free/en/papers/tang-2024-worldcoder-model-based-llm/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hao Tang, Darren Key, Kevin Ellis*2024 · 32 citations*
6. [**OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code arXiv:2405.15568**Maxence Faldor, Jenny Zhang, Antoine Cully, et al.*2024 · 15 citations*](https://md.research.elamur.ai/free/en/papers/faldor-2024-omni-epic-open-endedness-models/)
7. [**Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search arXiv:2405.15383**Nicola Dainese, Matteo Merler, Minttu Alakuijala, et al.*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/dainese-2024-generating-code-world-models/)
8. **[A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis](https://md.research.elamur.ai/free/en/papers/manzoor-2026-multi-view-media-profiling-suite/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Muhammad Arslan Manzoor, Dilshod Azizov, Daniil Orel, et al.*2026*
9. **[Lightweight and Faithful Visual Condition Checking in Behavior Trees via Expert-Regularized Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/moon-2026-lightweight-faithful-visual-condition-checking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hyosik Moon, Eldan Cohen*2026*

57 more citing papers of our library have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/authors/jordan-terry/) — Jordan Terry