Roberta Raileanu
29 papers · 2018–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird π Academic Marathon (7)
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Renaissance Researcher
(5)
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Conference Polyglot
(8)
π
Academic Marathon
(7)
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Triple Crown
π₯
Mega-Team
(24)
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Topic Evolution
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Century Club
(29)
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Keyword Collector
(78)
β‘
Prolific Year
(9)
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Unstoppable
(6)
Conferences
NIPS (9)
ICLR (8)
ICML (7)
AACL (1)
ACL (1)
EMNLP (1)
IJCAI (1)
IJCNLP (1)
Top co-authors
Keywords
reinforcement learning
(5)
value function
(4)
large language model
(4)
exploration bonus
(3)
game theory
(2)
deep reinforcement learning
(2)
tool use
(2)
language model
(2)
text generation
(2)
representation learning
(2)
sample efficiency
(1)
domain generalization
(1)
transfer learning
(1)
policy optimization
(1)
zero-shot learning
(1)
imitation learning
(1)
self-supervised learning
(1)
few-shot learning
(1)
sequential decision making
(1)
epistemic uncertainty
(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
Motif: Intrinsic Motivation from Artificial Intelligence Feedback
ICLR 2024
The Generalization Gap in Offline Reinforcement Learning
ICLR 2024
Chain-of-Verification Reduces Hallucination in Large Language Models
ACL 2024
Understanding the Effects of RLHF on LLM Generalisation and Diversity
ICLR 2024
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements
ICML 2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
NIPS 2024
Generalization to New Sequential Decision Making Tasks with In-Context Learning
ICML 2024
TOOLVERIFIER: Generalization to New Tools via Self-Verification
EMNLP 2024
AstroLLaMA: Towards Specialized Foundation Models in Astronomy
IJCNLP 2023
On the Importance of Exploration for Generalization in Reinforcement Learning
NIPS 2023
Improving Language Plasticity via Pretraining with Active Forgetting
NIPS 2023
Toolformer: Language Models Can Teach Themselves to Use Tools
NIPS 2023
AstroLLaMA: Towards Specialized Foundation Models in Astronomy
AACL 2023
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning
ICLR 2023
Building a Subspace of Policies for Scalable Continual Learning
ICLR 2023
Hyperparameters in Reinforcement Learning and How To Tune Them
ICML 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
ICML 2023
Improving Intrinsic Exploration with Language Abstractions
NIPS 2022
Dungeons and Data: A Large-Scale NetHack Dataset
NIPS 2022
Exploration via Elliptical Episodic Bonuses
NIPS 2022
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
ICLR 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning
ICML 2021
Automatic Data Augmentation for Generalization in Reinforcement Learning
NIPS 2021
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments
ICLR 2020
Fast Adaptation to New Environments via Policy-Dynamics Value Functions
ICML 2020
The NetHack Learning Environment
NIPS 2020
Modeling Others using Oneself in Multi-Agent Reinforcement Learning
ICML 2018