Zhaohan Daniel Guo
11 papers · 2016–2025 · 3 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge π Conference Polyglot (3)
π
Academic Marathon
(9)
π
Cross-Pollinator
(9)
π
Century Club
(11)
Conferences
ICML (7)
AISTATS (3)
JMLR (1)
Top co-authors
Keywords
representation learning
(3)
deep reinforcement learning
(3)
latent representation
(2)
reinforcement learning
(2)
policy optimization
(1)
preference learning
(1)
direct preference optimization
(1)
self-supervised learning
(1)
sample complexity
(1)
pac learning
(1)
policy learning
(1)
partially observable markov decision process
(1)
singular value decomposition
(1)
human feedback
(1)
spectral decomposition
(1)
latent variable model
(1)
predictive representation
(1)
reward modeling
(1)
conditional value-at-risk
(1)
atari game
(1)
Papers
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
AISTATS 2025
Optimizing Return Distributions with Distributional Dynamic Programming
JMLR 2025
A General Theoretical Paradigm to Understand Learning from Human Preferences
AISTATS 2024
Human Alignment of Large Language Models through Online Preference Optimisation
ICML 2024
Generalized Preference Optimization: A Unified Approach to Offline Alignment
ICML 2024
Nash Learning from Human Feedback
ICML 2024
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition
ICML 2023
Understanding Self-Predictive Learning for Reinforcement Learning
ICML 2023
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning
ICML 2020
Agent57: Outperforming the Atari Human Benchmark
ICML 2020
A PAC RL Algorithm for Episodic POMDPs
AISTATS 2016