Runzhe Wu
10 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (5) π Interdisciplinary Bridge
π
Cross-Pollinator
(13)
π
Century Club
(10)
β‘
Prolific Year
(5)
Conferences
NIPS (4)
ICLR (3)
EACL (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
reinforcement learning
(2)
regret bound
(2)
imitation learning
(2)
maximum likelihood estimation
(2)
offline reinforcement learning
(1)
function approximation
(1)
distributional reinforcement learning
(1)
constrained optimization
(1)
parallel computing
(1)
selective sampling
(1)
linear function approximation
(1)
query complexity
(1)
pac bound
(1)
multi-objective optimization
(1)
generative model
(1)
diffusion model
(1)
contextual bandit
(1)
preference feedback
(1)
parameter-efficient fine-tuning
(1)
return distribution
(1)
Papers
Imbalanced Gradients in RL Post-Training of Multi-Task LLMs
EACL 2026
Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics
ICLR 2025
Diffusing States and Matching Scores: A New Framework for Imitation Learning
ICLR 2025
Making RL with Preference-based Feedback Efficient via Randomization
ICLR 2024
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning
NIPS 2023
Contextual Bandits and Imitation Learning with Preference-Based Active Queries
NIPS 2023
Selective Sampling and Imitation Learning via Online Regression
NIPS 2023
Distributional Offline Policy Evaluation with Predictive Error Guarantees
ICML 2023
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning
JMLR 2023
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration
NIPS 2021