Runzhe Wu
10 papers · 2021–2026 · 5 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
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21) 💎 Century Club · Bronze
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Keywords
imitation learning
(3)
regret bound
(3)
reinforcement learning
(3)
maximum likelihood estimation
(2)
active learning
(2)
linear function approximation
(2)
diffusion model
(2)
query complexity
(2)
value iteration
(1)
markov decision process
(1)
offline reinforcement learning
(1)
parallel computing
(1)
multi-agent reinforcement learning
(1)
continuous control
(1)
reinforcement learning from human feedback
(1)
constrained optimization
(1)
least squares regression
(1)
distributional reinforcement learning
(1)
selective sampling
(1)
function approximation
(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
Contextual Bandits and Imitation Learning with Preference-Based Active Queries
NeurIPS 2023
Distributional Offline Policy Evaluation with Predictive Error Guarantees
ICML 2023
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning
JMLR 2023
Selective Sampling and Imitation Learning via Online Regression
NeurIPS 2023
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning
NeurIPS 2023
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration
NeurIPS 2021