--- title: "Who cites Maxime Chevalier-Boisvert — 84 papers of our library" description: "84 papers of the Elamur Research library cite the works of Maxime Chevalier-Boisvert, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/maxime-chevalier-boisvert/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/maxime-chevalier-boisvert/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Maxime Chevalier-Boisvert](https://md.research.elamur.ai/free/en/authors/maxime-chevalier-boisvert/) / cited by # Who cites Maxime Chevalier-Boisvert 85 citations of their works from 84 papers of our library (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · [← Maxime Chevalier-Boisvert](https://md.research.elamur.ai/free/en/authors/maxime-chevalier-boisvert/) 1. **[Language Models as Knowledge Bases?](https://md.research.elamur.ai/free/en/papers/petroni-2019-language-models-as-knowledge-bases/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, et al.*2019 · 3,028 citations* 2. **[A Survey of Reinforcement Learning Informed by Natural Language](https://md.research.elamur.ai/free/en/papers/luketina-2019-survey-reinforcement-learning-informed-natural/) [International Joint Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/international-joint-conference-on-artificial-intelligence/)**Jelena Luketina, Nantas Nardelli, Gregory Farquhar, et al.*2019 · 231 citations* 3. [**MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge arXiv:2206.08853**Linxi Fan, Guanzhi Wang, Yunfan Jiang, et al.*2022 · 149 citations*](https://md.research.elamur.ai/free/en/papers/fan-2022-minedojo-building-open-ended-embodied/) 4. [**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/) 5. [**Foundation Models for Decision Making: Problems, Methods, and Opportunities arXiv:2303.04129**Sherry Yang, Ofir Nachum, Yilun Du, et al.*2023 · 92 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-foundation-models-decision-making-problems/) 6. **[AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents](https://md.research.elamur.ai/free/en/papers/ma-2024-agentboard-analytical-evaluation-board-multi/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Chang Ma, Junlei Zhang, Zhihao Zhu, et al.*2024 · 90 citations* 7. [**AI Agents That Matter arXiv:2407.01502**Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, et al.*2024 · 55 citations*](https://md.research.elamur.ai/free/en/papers/kapoor-2024-ai-agents-that-matter/) 8. **[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* 9. [**Language Conditioned Imitation Learning over Unstructured Data arXiv:2005.07648**Corey Lynch, Pierre Sermanet*2020 · 43 citations*](https://md.research.elamur.ai/free/en/papers/lynch-2020-language-conditioned-imitation-learning-over/) 10. [**AgentGym: Evolving Large Language Model-based Agents across Diverse Environments arXiv:2406.04151**Zhiheng Xi, Yiwen Ding, Wenxiang Chen, et al.*2024 · 33 citations*](https://md.research.elamur.ai/free/en/papers/xi-2024-agentgym-evolving-large-language-model/) 11. **[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* 12. [**Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks arXiv:2306.13831**Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, et al.*2023 · 25 citations*](https://md.research.elamur.ai/free/en/papers/chevalier-boisvert-2023-minigrid-miniworld-modular-customizable-reinforcement/) 13. [**COLLIE: Systematic Construction of Constrained Text Generation Tasks arXiv:2307.08689**Shunyu Yao, Howard Chen, Austin W. Hanjie, et al.*2023 · 23 citations*](https://md.research.elamur.ai/free/en/papers/yao-2023-collie-systematic-construction-constrained-text/) 14. **[Draw Me a Flower: Processing and Grounding Abstraction in Natural Language](https://md.research.elamur.ai/free/en/papers/lachmy-2022-draw-me-flower-processing-grounding/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Royi Lachmy, Valentina Pyatkin, Avshalom Manevich, et al.*2022 · 21 citations* 15. **[Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction](https://md.research.elamur.ai/free/en/papers/cai-2023-open-world-multi-task-control/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Shaofei Cai, Zihao Wang, Xiaojian Ma, et al.*2023 · 18 citations* 16. **[Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents](https://md.research.elamur.ai/free/en/papers/yu-2026-agentic-memory-learning-unified-long/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yi Yu, Liuyi Yao, Yuexiang Xie, et al.*2026 · 6 citations* 17. **[Agentic Episodic Control](https://md.research.elamur.ai/free/en/papers/yang-2026-agentic-episodic-control/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xidong Yang, Wenhao Li, Junjie Sheng, et al.*2026* 18. **[Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/volovikova-2026-self-guided-plan-extraction-instruction/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zoya Volovikova, Nikita Sorokin, Dmitriy Lukashevskiy, et al.*2026* 19. **[The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check](https://md.research.elamur.ai/free/en/papers/lu-2026-bitter-lesson-diffusion-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingyu Lu, Liang Ding, Kanjian Zhang, et al.*2026* 65 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/maxime-chevalier-boisvert/) — Maxime Chevalier-Boisvert