Laixi Shi
17 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (20) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (14)
π€
Dynamic Duo
(10)
π₯
Unstoppable
(5)
π
Century Club
(17)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(50)
Conferences
NIPS (7)
ICML (5)
ICLR (2)
AISTATS (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
sample complexity
(5)
offline reinforcement learning
(4)
robust reinforcement learning
(2)
reinforcement learning
(2)
variance reduction
(2)
markov decision process
(2)
sample efficiency
(2)
generative model
(2)
model-based reinforcement learning
(2)
value iteration
(1)
policy optimization
(1)
optimal transport
(1)
robust optimization
(1)
constraint satisfaction
(1)
value function estimation
(1)
domain adaptation
(1)
domain generalization
(1)
distribution shift
(1)
mirror descent
(1)
sequence modeling
(1)
Papers
Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization
ICML 2025
Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data
AISTATS 2025
Tractable Multi-Agent Reinforcement Learning through Behavioral Economics
ICLR 2025
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning
ICLR 2025
Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning
ICML 2025
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
NIPS 2024
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation
NIPS 2024
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices
ICML 2024
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity
JMLR 2024
Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms
NIPS 2024
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty
ICML 2024
A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning
UAI 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
NIPS 2023
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
NIPS 2023
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity
ICML 2022
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
NIPS 2022
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
NIPS 2021