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← Authors

Deheng Ye

27 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (6)
🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (35) 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown πŸ† Grand Slam 🧬 Topic Evolution πŸ’Ž Century Club (25) πŸ—ƒοΈ Keyword Collector (113) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (7)

Conferences

NIPS (7) IJCAI (5) AAAI (3) ACL (3) EMNLP (3) ICML (3) ICLR (2) ICCV (1)

Top co-authors

Qiang Fu (10) Wei Yang (9) Zichuan Lin (5) Zongqing Lu (5) Lanxiao Huang (5) Hao Wang (4) Peilin Zhao (4) Liang Wang (4) Zhao Liu (3) Bei Shi (3)

Research topics

Reinforcement Learning (1)

Keywords

multi-agent reinforcement learning (6) game ai (5) multi-agent system (5) offline reinforcement learning (4) deep reinforcement learning (4) policy gradient (2) policy optimization (2) reinforcement learning (2) large language model (2) curriculum learning (2) policy learning (2) game artificial intelligence (2) moba game (2) unsupervised pretraining (1) sample efficiency (1) transformer architecture (1) in-context learning (1) imitation learning (1) attention mechanism (1) medical imaging (1)

Papers

Multi-agent In-context Coordination via Decentralized Memory Retrieval AAAI 2026 The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games ACL 2026 CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks EMNLP 2025 Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data ACL 2025 VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for Minecraft EMNLP 2025 GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training ICCV 2025 Cross-Domain Offline Policy Adaptation with Optimal Transport and Dataset Constraint ICLR 2025 Ad Hoc Teamwork via Offline Goal-Based Decision Transformers ICML 2025 Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making ICML 2025 Learning Versatile Skills with Curriculum Masking NIPS 2024 Language Model Adaption for Reinforcement Learning with Natural Language Action Space ACL 2024 LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay EMNLP 2024 RLogist: Fast Observation Strategy on Whole-Slide Images with Deep Reinforcement Learning AAAI 2023 More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization ICLR 2023 Future-conditioned Unsupervised Pretraining for Decision Transformer ICML 2023 Mutual-Information Regularized Multi-Agent Policy Iteration NIPS 2023 Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks NIPS 2023 JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning IJCAI 2022 Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning NIPS 2022 Learning Diverse Policies in MOBA Games via Macro-Goals NIPS 2021 MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks IJCAI 2021 Coordinated Proximal Policy Optimization NIPS 2021 Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021 Towards Playing Full MOBA Games with Deep Reinforcement Learning NIPS 2020 Relation-Aware Transformer for Portfolio Policy Learning IJCAI 2020 Mastering Complex Control in MOBA Games with Deep Reinforcement Learning AAAI 2020 Adversarial Transfer for Named Entity Boundary Detection with Pointer Networks IJCAI 2019