Mingxuan Jing

4 papers · 2019–2022 · 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) 🚀 Conference Pioneer

Venues

AAAI (2) ICML (1) NeurIPS (1)

Top co-authors

Fuchun Sun (4) Wenbing Huang (4) Xiaojian Ma (3) Huaping Liu (2) Chao Yang (1) Chuang Gan (1) Fengxiang He (1) Lei Li (1) Tianying Ji (1) Tao Kong (1)

Research topics

Machine Learning (4) Reinforcement Learning (4) Methods (4) Learning Types · Machine Learning (3) Artificial Intelligence (2) Deep Learning (1) Applications (1) Core AI (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Optimization & Theory (1)

Keywords

policy optimization (2) imitation learning (1) policy learning (1) constrained optimization (1) inverse reinforcement learning (1) model-based reinforcement learning (1) expectation-maximization algorithm (1) trajectory distribution (1) skill learning (1) expert demonstration (1) reward-free learning (1) policy exploration (1) preference-based learning (1) theoretical guarantee (1) exploration efficiency (1) generative adversarial imitation learning (1) option framework (1) imperfect demonstration (1) cost function learning (1) soft constraint (1)

Papers

When to Update Your Model: Constrained Model-based Reinforcement Learning NeurIPS 2022 Adversarial Option-Aware Hierarchical Imitation Learning ICML 2021 Reinforcement Learning from Imperfect Demonstrations under Soft Expert Guidance AAAI 2020 Task Transfer by Preference-Based Cost Learning AAAI 2019