Roberta Raileanu

28 papers · 2018–2025 · 7 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

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🗺️ Taxonomy Completionist (42) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧬 Topic Evolution 👑 Triple Crown 👥 Mega-Team · Squad ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (119)

Venues

NeurIPS (9) ICLR (8) ICML (7) AACL (1) ACL (1) EMNLP (1) IJCAI (1)

Top co-authors

Tim Rocktäschel (8) Minqi Jiang (7) Eric Hambro (6) Mikael Henaff (5) Edward Grefenstette (4) Rob Fergus (4) Jane Dwivedi-Yu (3) Heinrich Küttler (3) Sharath Chandra Raparthy (3) Pascal Vincent (2)

Research topics

Artificial Intelligence (17) Reinforcement Learning (17) Core AI (17) Machine Learning (15) Methods (14) Learning Types · Machine Learning (9) Deep Learning (7) Natural Language Processing (7) Applications (6) Resources & Methods (6) Learning Types · Deep Learning (5) Learning Paradigms (4) Optimization & Theory (3) Core Methods (2) Generation (2)

Keywords

reinforcement learning (9) large language model (6) value function (4) intrinsic reward (3) exploration bonus (3) multi-agent reinforcement learning (2) curriculum learning (2) game theory (2) deep reinforcement learning (2) language model (2) text generation (2) tool use (2) procedurally generated environment (2) intrinsic motivation (2) representation learning (2) offline reinforcement learning (1) few-shot learning (1) reward modeling (1) adversarial robustness (1) continual learning (1)

Papers

Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games IJCAI 2025 MaestroMotif: Skill Design from Artificial Intelligence Feedback ICLR 2025 Chain-of-Verification Reduces Hallucination in Large Language Models ACL 2024 Generalization to New Sequential Decision Making Tasks with In-Context Learning ICML 2024 GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements ICML 2024 Motif: Intrinsic Motivation from Artificial Intelligence Feedback ICLR 2024 Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts NeurIPS 2024 The Generalization Gap in Offline Reinforcement Learning ICLR 2024 TOOLVERIFIER: Generalization to New Tools via Self-Verification EMNLP 2024 Understanding the Effects of RLHF on LLM Generalisation and Diversity ICLR 2024 AstroLLaMA: Towards Specialized Foundation Models in Astronomy AACL 2023 A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs ICML 2023 Building a Subspace of Policies for Scalable Continual Learning ICLR 2023 Hyperparameters in Reinforcement Learning and How To Tune Them ICML 2023 Improving Language Plasticity via Pretraining with Active Forgetting NeurIPS 2023 MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning ICLR 2023 On the Importance of Exploration for Generalization in Reinforcement Learning NeurIPS 2023 Toolformer: Language Models Can Teach Themselves to Use Tools NeurIPS 2023 Dungeons and Data: A Large-Scale NetHack Dataset NeurIPS 2022 Exploration via Elliptical Episodic Bonuses NeurIPS 2022 Improving Intrinsic Exploration with Language Abstractions NeurIPS 2022 Automatic Data Augmentation for Generalization in Reinforcement Learning NeurIPS 2021 Decoupling Value and Policy for Generalization in Reinforcement Learning ICML 2021 Learning with AMIGo: Adversarially Motivated Intrinsic Goals ICLR 2021 Fast Adaptation to New Environments via Policy-Dynamics Value Functions ICML 2020 RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments ICLR 2020 The NetHack Learning Environment NeurIPS 2020 Modeling Others using Oneself in Multi-Agent Reinforcement Learning ICML 2018