Zhaohan Daniel Guo

11 papers · 2016–2025 · 3 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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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird

💎 Century Club · Bronze 🗃️ Keyword Collector (54)

Venues

ICML (7) AISTATS (3) JMLR (1)

Top co-authors

Rémi Munos (8) Bilal Piot (7) Mark Rowland (7) Yunhao Tang (6) Bernardo Avila Pires (6) Michal Valko (5) Daniele Calandriello (5) Will Dabney (4) Mohammad Gheshlaghi azar (4) Pierre Harvey Richemond (3)

Research topics

Reinforcement Learning (9) Methods (9) Machine Learning (8) Artificial Intelligence (6) Core AI (6) Optimization & Theory (5) Learning Types · Machine Learning (4) Deep Learning (3) Core Methods (3) Learning Types · Deep Learning (3) Applications (2)

Keywords

representation learning (3) deep reinforcement learning (3) reinforcement learning (3) human feedback (2) nash equilibrium (2) ipo (2) latent representation (2) direct preference optimization (1) pac learning (1) preference learning (1) sample complexity (1) policy learning (1) low-rank approximation (1) text summarization (1) singular value decomposition (1) preference optimization (1) partially observable markov decision process (1) mirror descent (1) value function (1) self-supervised learning (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 Generalized Preference Optimization: A Unified Approach to Offline Alignment ICML 2024 Human Alignment of Large Language Models through Online Preference Optimisation 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 Agent57: Outperforming the Atari Human Benchmark ICML 2020 Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning ICML 2020 A PAC RL Algorithm for Episodic POMDPs AISTATS 2016