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Yan Duan

12 papers · 2016–2026 · 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

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (24) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🧬 Topic Evolution 🀝 Dynamic Duo (12) πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (54) πŸ“ˆ Trend Setter

Venues

NeurIPS (6) ICML (3) ICLR (2) CVPR (1)

Top co-authors

Pieter Abbeel (12) Rein Houthooft (5) Xi Chen (4) John Schulman (4) Peter Chen (3) Ilya Sutskever (3) Filip De Turck (2) Bradly Stadie (2) Ignasi Clavera (1) Ion Stoica (1)

Research topics

Artificial Intelligence (7) Machine Learning (6) Reinforcement Learning (6) Deep Learning (5) Methods (5) Applications Β· Reinforcement Learning (3) Core AI (3) Core Methods (3) Learning Paradigms (3) Learning Types Β· Deep Learning (3) Robotics (2) Applications Β· Robotics (2) Learning Types Β· Machine Learning (2) Optimization & Theory (2) Architectures (1)

Keywords

continuous control (3) deep reinforcement learning (2) autoregressive model (2) policy gradient (2) density estimation (2) representation learning (2) intrinsic motivation (2) exploration bonus (2) image generation (1) variational inference (1) few-shot learning (1) transfer learning (1) robotic manipulation (1) policy optimization (1) semi-supervised learning (1) mutual information (1) sampling distribution (1) imitation learning (1) state space exploration (1) policy learning (1)

Papers

Contact-Aware Neural Dynamics CVPR 2026 Variable Skipping for Autoregressive Range Density Estimation ICML 2020 Evaluating Protein Transfer Learning with TAPE NeurIPS 2019 Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design ICML 2019 Model-Ensemble Trust-Region Policy Optimization ICLR 2018 The Importance of Sampling inMeta-Reinforcement Learning NeurIPS 2018 Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines ICLR 2018 #Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning NeurIPS 2017 One-Shot Imitation Learning NeurIPS 2017 Benchmarking Deep Reinforcement Learning for Continuous Control ICML 2016 InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets NeurIPS 2016 VIME: Variational Information Maximizing Exploration NeurIPS 2016