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Yi-Chen Li

11 papers · 2023–2026 · 4 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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+1 more ↓ 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (23) 🀝 Dynamic Duo (11) πŸ’Ž Century Club Β· Bronze
πŸ—ƒοΈ Keyword Collector (54)

Venues

ICML (5) ICLR (3) AAAI (2) IJCAI (1)

Top co-authors

Yang Yu (11) Zongzhang Zhang (7) Lei Yuan (6) Chengxing Jia (5) Fuxiang Zhang (3) Lihe Li (3) Junyin Ye (2) Wenjie Qiu (2) Ziqian Zhang (2) Cong Guan (2)

Research topics

Reinforcement Learning (10) Methods (10) Machine Learning (8) Artificial Intelligence (5) Learning Types (5) Core AI (4) Learning Paradigms (3) Deep Learning (1) Robotics (1) Application Areas (1) Architectures (1) Capabilities (1) Core Methods (1) Optimization & Theory (1)

Keywords

offline reinforcement learning (3) behavior policy (2) reward model (2) preference learning (2) multi-agent reinforcement learning (2) multi-task learning (1) sample efficiency (1) reinforcement learning (1) information bottleneck (1) catastrophic forgetting (1) in-context learning (1) model uncertainty (1) mutual information (1) model-based reinforcement learning (1) batch active learning (1) monte carlo tree search (1) offline learning (1) memory retrieval (1) latent variable (1) few-shot learning (1)

Papers

Multi-agent In-context Coordination via Decentralized Memory Retrieval AAAI 2026 Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning ICLR 2025 Controlling Large Language Model with Latent Action ICML 2025 Learning to Reuse Policies in State Evolvable Environments ICML 2025 Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation ICLR 2025 Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal IJCAI 2024 Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics ICML 2024 Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration ICML 2024 Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data ICLR 2023 Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract) AAAI 2023 Policy Regularization with Dataset Constraint for Offline Reinforcement Learning ICML 2023