Donghao Ying

4 papers · 2022–2023 · 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 (12)

Venues

NeurIPS (2) AAAI (1) AISTATS (1)

Top co-authors

Javad Lavaei (4) Yuhao Ding (3) Mengzi Amy Guo (2) Zuo-Jun Shen (2) Alec Koppel (1) Yunkai Zhang (1)

Research topics

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

Keywords

constrained markov decision process (2) primal-dual method (2) primal-dual optimization (2) game theory (1) policy gradient (1) convergence analysis (1) utility optimization (1) markov decision process (1) nash equilibrium (1) correlation decay (1) no-regret learning (1) safe reinforcement learning (1) convergence guarantee (1) convergence rate (1) entropy regularization (1) safety constraint (1) actor-critic method (1) constrained mdp (1) dual method (1) general utilities (1)

Papers

No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand NeurIPS 2023 Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes AAAI 2023 Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities NeurIPS 2023 A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization AISTATS 2022