Weichao Mao
9 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (19) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4) π Academic Marathon (7)
π
Cross-Pollinator
(9)
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Interdisciplinary Bridge
π§¬
Topic Evolution
π₯
Unstoppable
(6)
Conferences
ICML (3)
NIPS (3)
L4DC (2)
IJCAI (1)
Top co-authors
Keywords
multi-agent reinforcement learning
(5)
coarse correlated equilibrium
(2)
markov game
(2)
upper confidence bound
(2)
mechanism design
(1)
nash equilibrium
(1)
function approximation
(1)
variance reduction
(1)
dynamic regret
(1)
monte-carlo tree search
(1)
non-asymptotic analysis
(1)
no-regret learning
(1)
multi-armed bandit
(1)
continuous control
(1)
partial differential equation
(1)
regret bound
(1)
revenue maximization
(1)
correlated equilibrium
(1)
natural actor-critic
(1)
sample complexity
(1)
Papers
Teaching Language Models to Critique via Reinforcement Learning
ICML 2025
Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms
L4DC 2024
$\widetilde{O}(T^{-1})$ Convergence to (coarse) correlated equilibria in full-information general-sum Markov games
L4DC 2024
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity
NIPS 2023
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
ICML 2022
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation
NIPS 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
NIPS 2020
Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations
IJCAI 2018