Jan Leike
14 papers · 2015–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
The Namer
π
Keyword Trendsetter Combo
(4)
π₯
Mega-Team Β· Squad
π§¬
Topic Evolution
π§
Keyword Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(73)
π
Trend Setter
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(11)
Machine Learning
(11)
Core AI
(11)
Learning Types Β· Machine Learning
(8)
Reinforcement Learning
(7)
Methods
(7)
Optimization & Theory
(5)
Deep Learning
(2)
Bayesian & Probabilistic
(2)
Learning Types Β· Deep Learning
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Applications
(1)
Core Methods
(1)
Generation
(1)
Keywords
reward function
(4)
reinforcement learning
(3)
reward model
(3)
deep reinforcement learning
(3)
preference learning
(3)
instruction following
(2)
reward learning
(2)
human preference
(2)
inverse reinforcement learning
(2)
reward modeling
(2)
policy optimization
(1)
imitation learning
(1)
language model alignment
(1)
weak supervision
(1)
mathematical reasoning
(1)
trajectory optimization
(1)
sequential decision making
(1)
model alignment
(1)
reinforcement learning from human feedback
(1)
bayesian inference
(1)
Papers
Scaling and evaluating sparse autoencoders
ICLR 2025
Let's Verify Step by Step
ICLR 2024
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
ICML 2024
Training language models to follow instructions with human feedback
NeurIPS 2022
Quantifying Differences in Reward Functions
ICLR 2021
Learning Human Objectives by Evaluating Hypothetical Behavior
ICML 2020
Pitfalls of Learning a Reward Function Online
IJCAI 2020
Learning to Understand Goal Specifications by Modelling Reward
ICLR 2019
Reward learning from human preferences and demonstrations in Atari
NeurIPS 2018
Deep Reinforcement Learning from Human Preferences
NeurIPS 2017
On Thompson Sampling and Asymptotic Optimality
IJCAI 2017
Universal Reinforcement Learning Algorithms: Survey and Experiments
IJCAI 2017
Loss Bounds and Time Complexity for Speed Priors
AISTATS 2016
Bad Universal Priors and Notions of Optimality
COLT 2015