Talks
Research Presentations
Provably Efficient CVaR RL in Low-rank MDPs
[poster]Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning
[slides] [poster]Blessing of Class Diversity in Pre-training
[slides] [poster]Optimizing the Performative Risk under Weak Convexity Assumptions
[slides] [poster]Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games
[slides] [poster]
Other Works
Enhancing Network Pruning Method Evaluation and Integration
[report] [poster]Can Learned Models Replace Hash Functions?
[slides]Reinforcement Learning From Human Feedback
[slides]Training Diffusion Models with Reinforcement Learning
[slides]Risk Sensitive Reinforcement Learning with Low-rank MDPs
[slides]Eigenface++: Face Recognition with Deep PCA
[report] [slides]What Can Transformers Learn In-Context?
[slides]