Weichao Mao
9 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (20) 🧬 Topic Evolution
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Keywords
multi-agent reinforcement learning
(5)
coarse correlated equilibrium
(2)
markov game
(2)
reinforcement learning
(2)
upper confidence bound
(2)
mechanism design
(1)
best arm identification
(1)
dynamic regret
(1)
variance reduction
(1)
continuous control
(1)
code generation
(1)
non-asymptotic analysis
(1)
monte carlo tree search
(1)
no-regret learning
(1)
regret bound
(1)
natural actor-critic
(1)
multi-armed bandit
(1)
partial differential equation
(1)
revenue maximization
(1)
nash equilibrium
(1)
Papers
Teaching Language Models to Critique via Reinforcement Learning
ICML 2025
Õ(T^-1) Convergence to (coarse) correlated equilibria in full-information general-sum Markov games
L4DC 2024
Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms
L4DC 2024
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
NeurIPS 2023
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation
NeurIPS 2022
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
ICML 2022
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs
ICML 2021
POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis
NeurIPS 2020
Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations
IJCAI 2018