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Laixi Shi

17 papers · 2021–2025 · 6 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

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+4 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (26) 🌍 Conference Polyglot Β· Silver πŸ† Keyword Champion (2) 🀝 Dynamic Duo (10)
πŸ—ƒοΈ Keyword Collector (79) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze

Venues

NeurIPS (7) ICML (5) ICLR (2) AISTATS (1) JMLR (1) UAI (1)

Top co-authors

Yuejie Chi (10) Adam Wierman (7) Eric Mazumdar (5) Ding Zhao (3) Yuxin Chen (3) Gen Li (3) Matthieu Geist (2) shangding gu (2) Costas Spanos (2) Mengdi Xu (2)

Research topics

Reinforcement Learning (16) Methods (16) Machine Learning (11) Optimization & Theory (8) Artificial Intelligence (7) Core AI (7) Learning Types (6) Applications (3) Application Areas (2) Mathematics & Optimization (1) Learning Paradigms Β· Artificial Intelligence (1) Learning Paradigms Β· Machine Learning (1) Optimization (1)

Keywords

sample complexity (8) offline reinforcement learning (5) sample efficiency (3) robust reinforcement learning (3) generative model (3) multi-agent reinforcement learning (2) robust markov game (2) reinforcement learning (2) model-based algorithm (2) uncertainty set (2) markov decision process (2) variance reduction (2) safe reinforcement learning (2) model-free algorithm (2) model-based reinforcement learning (2) behavioral economics (1) bounded rationality (1) domain adaptation (1) benchmark suite (1) robust optimization (1)

Papers

Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning ICML 2025 Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data AISTATS 2025 Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization ICML 2025 Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning ICLR 2025 Tractable Multi-Agent Reinforcement Learning through Behavioral Economics ICLR 2025 BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning NeurIPS 2024 Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity JMLR 2024 Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation NeurIPS 2024 Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices ICML 2024 Near-Optimal Distributionally Robust Reinforcement Learning with General L_p Norms NeurIPS 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 NeurIPS 2023 The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model NeurIPS 2023 Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation NeurIPS 2022 Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity ICML 2022 Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning NeurIPS 2021