Natasha Jaques

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

+8 more ↓

🗺️ Taxonomy Completionist (46) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🏆 Grand Slam 👥 Mega-Team · Squad 🌈 Renaissance Researcher (6) ⚡ Prolific Year · Productive 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (118)

Venues

ICML (6) NeurIPS (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)

Research topics

Artificial Intelligence (13) Reinforcement Learning (13) Machine Learning (12) Methods (12) Core AI (11) Learning Types · Machine Learning (11) Deep Learning (5) Natural Language Processing (5) Applications (4) Learning Types · Deep Learning (4) Generation (3) Learning Paradigms (2) Models (2) Optimization & Theory (2) Computer Vision (1)

Keywords

multi-agent reinforcement learning (6) reinforcement learning (5) imitation learning (2) environment generation (2) latent variable model (2) human feedback (2) language model (2) generative model (2) open-domain dialog (2) multi-agent system (2) zero-shot coordination (2) zero-shot transfer (2) preference learning (1) curriculum learning (1) offline reinforcement learning (1) policy gradient (1) sentiment analysis (1) reward modeling (1) transfer learning (1) visual grounding (1)

Papers

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