Siliang Zeng
9 papers · 2021–2025 · 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 ↓
🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
🐣
Hot Topic Early Bird
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Keywords
inverse reinforcement learning
(5)
bilevel optimization
(3)
reward function
(2)
supervised fine-tuning
(2)
multi-agent reinforcement learning
(2)
maximum likelihood
(2)
reward model
(2)
finite-time guarantees
(2)
imitation learning
(2)
multi-agent learning
(1)
optimal policy
(1)
offline learning
(1)
reward function estimation
(1)
actor-critic algorithm
(1)
non-asymptotic convergence
(1)
world model
(1)
global optimality
(1)
augmented lagrangian method
(1)
robust policy
(1)
decentralized learning
(1)
Papers
Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment
ICLR 2025
Understanding Inverse Reinforcement Learning under Overparameterization: Non-Asymptotic Analysis and Global Optimality
AISTATS 2025
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment
NeurIPS 2024
A Bayesian Approach to Robust Inverse Reinforcement Learning
CoRL 2023
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning
NeurIPS 2023
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization
NeurIPS 2022
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees
L4DC 2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
NeurIPS 2022
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
NeurIPS 2021