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← Authors

Natasha Jaques

19 papers · 2017–2025 · 6 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (8)
🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (7) 🐣 Hot Topic Early Bird πŸ† Keyword Champion (2) 🌱 Topic Pioneer πŸ‘₯ Mega-Team (27) πŸ† Grand Slam 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (105) πŸ’Ž Century Club (19) πŸ“ˆ Trend Setter ⚑ Prolific Year (5)

Conferences

ICML (6) NIPS (6) AAAI (3) EMNLP (2) CVPR (1) ICLR (1)

Top co-authors

Rosalind Picard (3) Sergey Levine (3) Asma Ghandeharioun (3) Abhishek Gupta (2) Yancheng Liang (2) Yanming Wan (2) Agata Lapedriza (2) Joel Z. Leibo (2) Shixiang Gu (2) Izzeddin Gur (2)

Keywords

multi-agent reinforcement learning (5) reinforcement learning (3) imitation learning (2) open-domain dialog (2) human feedback (2) generative model (2) zero-shot transfer (2) language model (2) multi-agent system (2) environment generation (2) latent variable model (2) curriculum learning (1) offline reinforcement learning (1) preference learning (1) policy gradient (1) sentiment analysis (1) reward modeling (1) transfer learning (1) visual grounding (1) variational inference (1)

Papers

Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination ICML 2025 InvestESG: A multi-agent reinforcement learning benchmark for studying climate investment as a social dilemma ICLR 2025 Infer Human’s Intentions Before Following Natural Language Instructions AAAI 2025 Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems AAAI 2025 Learning to Cooperate with Humans using Generative Agents NIPS 2024 Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning NIPS 2024 Adaptive Accompaniment with ReaLchords ICML 2024 Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence NIPS 2024 Moral Foundations of Large Language Models EMNLP 2024 Less Is More: Generating Grounded Navigation Instructions From Landmarks CVPR 2022 Emergent Social Learning via Multi-agent Reinforcement Learning ICML 2021 PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning ICML 2021 Environment Generation for Zero-Shot Compositional Reinforcement Learning NIPS 2021 Human-centric dialog training via offline reinforcement learning EMNLP 2020 Hierarchical Reinforcement Learning for Open-Domain Dialog AAAI 2020 Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design NIPS 2020 Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems NIPS 2019 Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning ICML 2019 Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017