Search Results - "Yang, Tianpei"

Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain by Hao, Jianye, Yang, Tianpei, Tang, Hongyao, Bai, Chenjia, Liu, Jinyi, Meng, Zhaopeng, Liu, Peng, Wang, Zhen

“…Deep reinforcement learning (DRL) and deep multiagent reinforcement learning (MARL) have achieved significant success across a wide range of domains, including…”
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Efficient policy detecting and reusing for non-stationarity in Markov games by Zheng, Yan, Hao, Jianye, Zhang, Zongzhang, Meng, Zhaopeng, Yang, Tianpei, Li, Yanran, Fan, Changjie

“…One challenging problem in multiagent systems is to cooperate or compete with non-stationary agents that change behavior from time to time. An agent in such a…”
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Spatial analysis with SPIAT and spaSim to characterize and simulate tissue microenvironments by Feng, Yuzhou, Yang, Tianpei, Zhu, John, Li, Mabel, Doyle, Maria, Ozcoban, Volkan, Bass, Greg T., Pizzolla, Angela, Cain, Lachlan, Weng, Sirui, Pasam, Anupama, Kocovski, Nikolce, Huang, Yu-Kuan, Keam, Simon P., Speed, Terence P., Neeson, Paul J., Pearson, Richard B., Sandhu, Shahneen, Goode, David L., Trigos, Anna S.

“…Spatial proteomics technologies have revealed an underappreciated link between the location of cells in tissue microenvironments and the underlying biology and…”
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ASN: action semantics network for multiagent reinforcement learning by Yang, Tianpei, Wang, Weixun, Hao, Jianye, Taylor, Matthew E., Liu, Yong, Hao, Xiaotian, Hu, Yujing, Chen, Yingfeng, Fan, Changjie, Ren, Chunxu, Huang, Ye, Zhu, Jiangcheng, Gao, Yang

“…In multiagent systems (MASs), each agent makes individual decisions but all contribute globally to the system’s evolution. Learning in MASs is difficult since…”
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Coupling Glycerol Conversion with Hydrogen Production Using Alloyed Electrocatalysts by Yang, Tianpei, Shen, Yi

“…Herein, uniform precious alloys including PtAg, PdAg, and PtPdAg nanoparticles were synthesized as electrocatalysts for glycerol oxidation reaction (GOR). The…”
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668 A toolkit for the quantitative analysis of the spatial distribution of cells of the tumor immune microenvironment by Trigos, Anna, Yang, Tianpei, Feng, Yuzhou, Ozcoban, Volkan, Doyle, Maria, Pasam, Anu, Kocovski, Nikolce, Pizzolla, Angela, Huang, Yu-Kuan, Bass, Greg, Keam, Simon, Speed, Terrence, Neeson, Paul, Sandhu, Shahneen, Goode, David

“…BackgroundSpatial technologies that query the location of cells in tissues such as multiplex immunohistochemistry and spatial transcriptomics are gaining…”
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A survey on interpretable reinforcement learning by Glanois, Claire, Weng, Paul, Zimmer, Matthieu, Li, Dong, Yang, Tianpei, Hao, Jianye, Liu, Wulong

“…Although deep reinforcement learning has become a promising machine learning approach for sequential decision-making problems, it is still not mature enough…”
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Neighborhood Cooperative Multiagent Reinforcement Learning for Adaptive Traffic Signal Control in Epidemic Regions by Zhang, Chengwei, Tian, Yu, Zhang, Zhibin, Xue, Wanli, Xie, Xiaofei, Yang, Tianpei, Ge, Xin, Chen, Rong

“…Nowadays, multiagent reinforcement learning (MARL) have shared significant advances in the adaptive traffic signal control (ATSC) problems. For most of the…”
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Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities by Retzlaff, Carl Orge, Das, Srijita, Wayllace, Christabel, Mousavi, Payam, Afshari, Mohammad, Yang, Tianpei, Saranti, Anna, Angerschmid, Alessa, Taylor, Matthew E., Holzinger, Andreas

“…Artificial intelligence (AI) and especially reinforcement learning (RL) have the potential to enable agents to learn and perform tasks autonomously with…”
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Advertising Impression Resource Allocation Strategy with Multi-Level Budget Constraint DQN in Real-Time Bidding by Zhang, Chengwei, Zheng, Kangjie, Tian, Yu, Xue, Wanli, Yang, Tianpei, An, Dou, Pi, Yongqi, Chen, Rong

“…How to allocate advertising impressions under budget constraint is one of the leading research issues in Real-Time Bidding (RTB). Traditional methods are…”
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Towards quantitative and intuitive percutaneous tumor puncture via augmented virtual reality by Li, Ruotong, Tong, Yuqi, Yang, Tianpei, Guo, Jianxi, Si, Weixin, Zhang, Yanfang, Klein, Reinhard, Heng, Pheng-Ann

“…•Optimal needle puncture path planning for RFA via constraint-based method to fulfill the requirements in specialist consensus.•Precisely overlying the…”
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T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler by Yu, Yuanqiang, Yang, Tianpei, Lv, Yongliang, Zheng, Yan, Hao, Jianye

“…Multi-task reinforcement learning (MTRL) is a technique to train multiple tasks simultaneously, where previous works usually train a single model to solve…”
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FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning by Wang, Shang, Mamillapalli, Deepak Ranganatha Sastry, Yang, Tianpei, Taylor, Matthew E.

“…This paper introduces the problem of learning to place logic blocks in Field-Programmable Gate Arrays (FPGAs) and a preliminary learning-based method. In…”
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FPGA Divide-and-Conquer Placement using Deep Reinforcement Learning by Wang, Shang, Mamillapalli, Deepak Ranganatha Sastry, Yang, Tianpei, Taylor, Matthew E

“…This paper introduces the problem of learning to place logic blocks in Field-Programmable Gate Arrays (FPGAs) and a learning-based method. In contrast to…”
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LaFFi: Leveraging Hybrid Natural Language Feedback for Fine-tuning Language Models by Li, Qianxi, Cao, Yingyue, Kang, Jikun, Yang, Tianpei, Chen, Xi, Jin, Jun, Taylor, Matthew E

“…Fine-tuning Large Language Models (LLMs) adapts a trained model to specific downstream tasks, significantly improving task-specific performance. Supervised…”
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Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain by Hao, Jianye, Yang, Tianpei, Tang, Hongyao, Bai, Chenjia, Liu, Jinyi, Meng, Zhaopeng, Liu, Peng, Wang, Zhen

“…Deep Reinforcement Learning (DRL) and Deep Multi-agent Reinforcement Learning (MARL) have achieved significant successes across a wide range of domains,…”
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GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis by Cao, Yushi, Li, Zhiming, Yang, Tianpei, Zhang, Hao, Zheng, Yan, Li, Yi, Hao, Jianye, Liu, Yang

“…Despite achieving superior performance in human-level control problems, unlike humans, deep reinforcement learning (DRL) lacks high-order intelligence (e.g.,…”
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A Survey on Interpretable Reinforcement Learning by Glanois, Claire, Weng, Paul, Zimmer, Matthieu, Li, Dong, Yang, Tianpei, Hao, Jianye, Liu, Wulong

“…Although deep reinforcement learning has become a promising machine learning approach for sequential decision-making problems, it is still not mature enough…”
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Taming Multi-Agent Reinforcement Learning with Estimator Variance Reduction by Jafferjee, Taher, Ziomek, Juliusz, Yang, Tianpei, Dai, Zipeng, Wang, Jianhong, Taylor, Matthew, Shao, Kun, Wang, Jun, Mguni, David

“…Centralised training with decentralised execution (CT-DE) serves as the foundation of many leading multi-agent reinforcement learning (MARL) algorithms…”
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Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning by Yu, Chao, Yang, Tianpei, Zhu, Wenxuan, wang, Dongxu, Li, Guangliang

“…Providing reinforcement learning agents with informationally rich human knowledge can dramatically improve various aspects of learning. Prior work has…”
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