Alan Chan

4 papers · 2020–2025 · 4 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

AAAI (1) ICLR (1) ICML (1) JMLR (1)

Top co-authors

Martha White (2) Cedric Deslandes Whitney (1) Xin Li (1) Sungsu Lim (1) Richard Sutton (1) Hugo Silva (1) Somjit Nath (1) Samuele Marro (1) Thomas Hardjono (1) Silviu Pitis (1)

Research topics

Machine Learning (3) Optimization & Theory · Machine Learning (3) Deep Learning (2) Reinforcement Learning (2) Learning Types (2) Methods (2) Artificial Intelligence (1) Computer Science (1) Applications (1) Architectures (1) Core AI (1) Core Methods (1) Optimization & Theory · Deep Learning (1)

Keywords

reinforcement learning (2) online learning (1) policy optimization (1) function approximation (1) kl divergence (1) value function (1) off-policy learning (1) policy improvement (1) approximate policy iteration (1) temporal difference (1) state representation learning (1) recurrent neural network (1) entropy regularization (1) boltzmann distribution (1) deadly triad (1) access control (1) fixed horizon (1) backprop through time (1) fixed point propagation (1) accountability (1)

Papers

Position: AI Agents Need Authenticated Delegation ICML 2025 Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences JMLR 2022 Fixed-Horizon Temporal Difference Methods for Stable Reinforcement Learning AAAI 2020 Training Recurrent Neural Networks Online by Learning Explicit State Variables ICLR 2020