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Tianpei Yang

19 papers · 2018–2026 · 7 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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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (29) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (11) πŸ† Keyword Champion (4) πŸ—ƒοΈ Keyword Collector (85) πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze

Venues

AAAI (6) ICLR (3) IJCAI (3) NeurIPS (3) ICML (2) ACL (1) UAI (1)

Top co-authors

Jianye Hao (11) Yang Gao (8) YAN ZHENG (7) Changjie Fan (5) Weixun Wang (5) Jing Huo (4) Xiaotian Hao (4) Yingfeng Chen (4) Yujing Hu (4) Zhaopeng Meng (4)

Research topics

Artificial Intelligence (15) Reinforcement Learning (14) Methods (14) Machine Learning (12) Core AI (11) Learning Types (6) Deep Learning (3) Learning Paradigms Β· Artificial Intelligence (3) Optimization & Theory (3) Mathematics & Optimization (2) Robotics (2) Architectures (2) Capabilities (2) Learning Paradigms Β· Machine Learning (2) Optimization (2)

Keywords

deep reinforcement learning (8) multi-agent reinforcement learning (5) policy transfer (4) reinforcement learning (4) transfer learning (3) multi-agent system (2) mutual information (2) sample efficiency (2) markov game (2) policy reuse (2) option learning (2) policy learning (1) multi-source learning (1) program synthesis (1) sequential decision making (1) curriculum learning (1) multi-task learning (1) bayesian inference (1) multi-agent learning (1) game theory (1)

Papers

Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning AAAI 2026 Faster Game Solving via Asymmetry of Step Sizes AAAI 2026 Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning ACL 2026 Causal Information Prioritization for Efficient Reinforcement Learning ICLR 2025 Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games ICML 2025 The Evolving Landscape of LLM- and VLM-Integrated Reinforcement Learning IJCAI 2025 Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning ICLR 2025 A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning AAAI 2024 PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning AAAI 2024 Learning to Shape Rewards Using a Game of Two Partners AAAI 2023 Cross-domain adaptive transfer reinforcement learning based on state-action correspondence UAI 2022 GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis NeurIPS 2022 PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration ICML 2022 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NeurIPS 2021 Action Semantics Network: Considering the Effects of Actions in Multiagent Systems ICLR 2020 Efficient Deep Reinforcement Learning via Adaptive Policy Transfer IJCAI 2020 From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning AAAI 2020 Towards Efficient Detection and Optimal Response against Sophisticated Opponents IJCAI 2019 A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents NeurIPS 2018