conftrace_

Yujing Hu

25 papers · 2019–2025 · 7 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+10 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (6)
🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🤝 Dynamic Duo (21) 👑 Triple Crown 🏆 Grand Slam 🔬 Deep Specialist (10) 💎 Century Club (25) 🗃️ Keyword Collector (82) Prolific Year (9) 🔥 Unstoppable (7)

Conferences

ICLR (6) NIPS (6) IJCAI (5) AAAI (3) ICML (3) ECCV (1) UAI (1)

Papers

Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards ICLR 2025 vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement IJCAI 2024 AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model ICLR 2024 STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations IJCAI 2024 Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search UAI 2024 Unlock the Intermittent Control Ability of Model Free Reinforcement Learning NIPS 2024 Bayesian Design Principles for Offline-to-Online Reinforcement Learning ICML 2024 Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning AAAI 2024 Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets ICLR 2024 Norface: Improving Facial Expression Analysis by Identity Normalization ECCV 2024 Neural Episodic Control with State Abstraction ICLR 2023 Conservative Offline Policy Adaptation in Multi-Agent Games NIPS 2023 EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model ICLR 2023 Individual Reward Assisted Multi-Agent Reinforcement Learning ICML 2022 Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games NIPS 2021 Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration NIPS 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NIPS 2021 Multi-Agent Game Abstraction via Graph Attention Neural Network AAAI 2020 Efficient Deep Reinforcement Learning via Adaptive Policy Transfer IJCAI 2020 Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping NIPS 2020 Action Semantics Network: Considering the Effects of Actions in Multiagent Systems ICLR 2020 From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning AAAI 2020 Q-value Path Decomposition for Deep Multiagent Reinforcement Learning ICML 2020 Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns IJCAI 2019 Explicitly Coordinated Policy Iteration IJCAI 2019