🧑‍🔬 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

1. Language Models as Knowledge Bases?Conference on Empirical Methods in Natural Language Processing (EMNLP)Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, et al.2019 · 3,028 citations
2. A Survey of Reinforcement Learning Informed by Natural LanguageInternational Joint Conference on Artificial IntelligenceJelena Luketina, Nantas Nardelli, Gregory Farquhar, et al.2019 · 231 citations
3. MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgearXiv:2206.08853Linxi Fan, Guanzhi Wang, Yunfan Jiang, et al.2022 · 149 citations
4. Gymnasium: A Standard Interface for Reinforcement Learning EnvironmentsarXiv:2407.17032Mark Towers, Ariel Kwiatkowski, Jordan Terry, et al.2024 · 113 citations
5. Foundation Models for Decision Making: Problems, Methods, and OpportunitiesarXiv:2303.04129Sherry Yang, Ofir Nachum, Yilun Du, et al.2023 · 92 citations
6. AgentBoard: An Analytical Evaluation Board of Multi-turn LLM AgentsConference on Neural Information Processing Systems (NeurIPS)Chang Ma, Junlei Zhang, Zhihao Zhu, et al.2024 · 90 citations
7. AI Agents That MatterarXiv:2407.01502Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, et al.2024 · 55 citations
8. DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery AgentsConference on Neural Information Processing Systems (NeurIPS)Peter Jansen, Marc-Alexandre Côté, Tushar Khot, et al.2024 · 43 citations
9. Language Conditioned Imitation Learning over Unstructured DataarXiv:2005.07648Corey Lynch, Pierre Sermanet2020 · 43 citations
10. AgentGym: Evolving Large Language Model-based Agents across Diverse EnvironmentsarXiv:2406.04151Zhiheng Xi, Yiwen Ding, Wenxiang Chen, et al.2024 · 33 citations
11. WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the EnvironmentConference on Neural Information Processing Systems (NeurIPS)Hao Tang, Darren Key, Kevin Ellis2024 · 32 citations
12. Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented TasksarXiv:2306.13831Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, et al.2023 · 25 citations
13. COLLIE: Systematic Construction of Constrained Text Generation TasksarXiv:2307.08689Shunyu Yao, Howard Chen, Austin W. Hanjie, et al.2023 · 23 citations
14. Draw Me a Flower: Processing and Grounding Abstraction in Natural LanguageTransactions of the Association for Computational Linguistics (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 PredictionIEEE Computer Society Conference on Computer Vision and Pattern RecognitionShaofei 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 AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Yu, Liuyi Yao, Yuexiang Xie, et al.2026 · 6 citations
17. Agentic Episodic ControlFindings of the Association for Computational LinguisticsXidong Yang, Wenhao Li, Junjie Sheng, et al.2026
18. Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement LearningFindings of the Association for Computational LinguisticsZoya Volovikova, Nikita Sorokin, Dmitriy Lukashevskiy, et al.2026
19. The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality CheckAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyu Lu, Liang Ding, Kanjian Zhang, et al.2026

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