Qingyuan Wu

7 papers · 2024–2026 · 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13)

Venues

ICML (4) L4DC (2) NeurIPS (1)

Top co-authors

Chao Huang (6) Yuhui Wang (5) Yixuan Wang (5) Qi Zhu (5) Simon Sinong Zhan (4) Jürgen Schmidhuber (4) Chung-Wei Lin (3) Chen Lv (3) Weida Li (2) Ruochen Jiao (2)

Research topics

Reinforcement Learning (7) Artificial Intelligence (5) Core AI (5) Methods (5) Machine Learning (4) Applications (3) Learning Types (2) Optimization & Theory (2) Robotics (1) Bayesian & Probabilistic · Artificial Intelligence (1) Bayesian & Probabilistic · Machine Learning (1) Capabilities (1)

Keywords

value iteration network (2) bootstrapping (2) skip connection (2) reinforcement learning (2) variational inference (1) sample complexity (1) inverse reinforcement learning (1) behavior cloning (1) policy improvement (1) safe reinforcement learning (1) delayed feedback (1) safety constraint (1) reward shaping (1) pixel observation (1) delayed reinforcement learning (1) transition model (1) latent mdp (1) barrier function (1) auxiliary task (1) stochastic environment (1)

Papers

Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping L4DC 2026 Directly Forecasting Belief for Reinforcement Learning with Delays ICML 2025 Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning ICML 2025 Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays ICML 2024 Highway Value Iteration Networks ICML 2024 State-wise safe reinforcement learning with pixel observations L4DC 2024 Variational Delayed Policy Optimization NeurIPS 2024