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← Authors

Bei Peng

15 papers · 2017–2026 · 9 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+7 more ↓ 🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (8)
🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌍 Conference Polyglot (9) 👑 Triple Crown 💎 Century Club (14) 📈 Trend Setter ⚡ Prolific Year (5)

Conferences

ICML (3) NIPS (3) ACL (2) ICLR (2) AACL (1) CVPR (1) EMNLP (1) IJCNLP (1) JMLR (1)

Top co-authors

Shimon Whiteson (7) Tianhui Zhang (5) Danushka Bollegala (5) Tabish Rashid (4) Wendelin Boehmer (4) Matthew E. Taylor (2) Tarun Gupta (2) Anuj Mahajan (2) Jivko Sinapov (1) David L. Roberts (1)

Keywords

multi-agent reinforcement learning (4) commonsense generation (2) value function (2) reinforcement learning (2) interactive learning (1) transfer learning (1) image classification (1) counterfactual reasoning (1) natural language generation (1) text generation (1) multimodal learning (1) policy learning (1) deepfake detection (1) evaluation methodology (1) human feedback (1) in-context learning (1) synthetic data generation (1) generative model (1) curriculum learning (1) multi-task learning (1)

Papers

Synthetic Data Generation for Training Diversified Commonsense Reasoning Models ACL 2026 Evaluating the Evaluation of Diversity in Commonsense Generation ACL 2025 SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model CVPR 2025 Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning EMNLP 2024 Learning to Predict Concept Ordering for Common Sense Generation IJCNLP 2023 Learning to Predict Concept Ordering for Common Sense Generation AACL 2023 UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning ICML 2021 FACMAC: Factored Multi-Agent Centralised Policy Gradients NIPS 2021 Regularized Softmax Deep Multi-Agent Q-Learning NIPS 2021 RODE: Learning Roles to Decompose Multi-Agent Tasks ICLR 2021 Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning ICML 2021 Optimistic Exploration even with a Pessimistic Initialisation ICLR 2020 Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning NIPS 2020 Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey JMLR 2020 Interactive Learning from Policy-Dependent Human Feedback ICML 2017