Who cites «BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning»
- 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
- A Survey of Reinforcement Learning Informed by Natural LanguageInternational Joint Conference on Artificial IntelligenceJelena Luketina, Nantas Nardelli, Gregory Farquhar, et al.2019 · 231 citations
- MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgearXiv:2206.08853Linxi Fan, Guanzhi Wang, Yunfan Jiang, et al.2022 · 149 citations
- 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
- AI Agents That MatterarXiv:2407.01502Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, et al.2024 · 55 citations
- COLLIE: Systematic Construction of Constrained Text Generation TasksarXiv:2307.08689Shunyu Yao, Howard Chen, Austin W. Hanjie, et al.2023 · 23 citations
- 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
- 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
- Agentic Episodic ControlFindings of the Association for Computational LinguisticsXidong Yang, Wenhao Li, Junjie Sheng, et al.2026
- 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
- 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
This page in Markdown → https://md.research.elamur.ai/free/en/papers/chevalier-boisvert-2018-babyai-platform-study-sample-efficiency/cited-by/