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2020 – today
- 2024
[j49]Chenjia Bai
, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li:
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning. Artif. Intell. 326: 104048 (2024)- [j48]Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han:
Exploiting counter-examples for active learning with partial labels. Mach. Learn. 113(6): 3849-3868 (2024) - [j47]Claire Glanois, Paul Weng, Matthieu Zimmer, Dong Li, Tianpei Yang, Jianye Hao, Wulong Liu:
A survey on interpretable reinforcement learning. Mach. Learn. 113(8): 5847-5890 (2024) - [j46]Tianze Zhou, Fubiao Zhang, Kun Shao, Zipeng Dai, Kai Li, Wenhan Huang, Weixun Wang, Bin Wang, Dong Li, Wulong Liu, Jianye Hao:
Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Trans. Games 16(2): 352-364 (2024) - [j45]Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao:
WToE: Learning When to Explore in Multiagent Reinforcement Learning. IEEE Trans. Cybern. 54(8): 4789-4801 (2024) - [j44]Junjie Wang, Qichao Zhang, Yao Mu, Dong Li, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao:
Prototypical Context-Aware Dynamics for Generalization in Visual Control With Model-Based Reinforcement Learning. IEEE Trans. Ind. Informatics 20(9): 10717-10727 (2024) - [j43]Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang:
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8762-8782 (2024) - [j42]Yingrong Qin, Chen Gao, Shuangqing Wei, Yue Wang, Depeng Jin, Jian Yuan, Lin Zhang, Dong Li, Jianye Hao, Yong Li:
Learning from Hierarchical Structure of Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. 42(1): 18:1-18:24 (2024) - [c221]Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng:
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces. AAAI 2024: 12304-12312 - [c220]Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun:
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. AAAI 2024: 13954-13962 - [c219]Jizhou Wu, Jianye Hao, Tianpei Yang, Xiaotian Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor:
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAAI 2024: 15934-15942 - [c218]Tianpei Yang, Heng You, Jianye Hao, Yan Zheng, Matthew E. Taylor:
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning. AAAI 2024: 16352-16360 - [c217]Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan:
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. AAAI 2024: 17087-17095 - [c216]Mohammad Dehghan, Mohammad Ali Alomrani, Sunyam Bagga, David Alfonso-Hermelo, Khalil Bibi, Abbas Ghaddar, Yingxue Zhang, Xiaoguang Li, Jianye Hao, Qun Liu, Jimmy Lin, Boxing Chen, Prasanna Parthasarathi, Mahdi Biparva, Mehdi Rezagholizadeh:
EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems. ACL (1) 2024: 14169-14187 - [c215]Jinyi Liu, Yi Ma, Jianye Hao, Yujing Hu, Yan Zheng, Tangjie Lv, Changjie Fan:
A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning. AAMAS 2024: 1229-1237 - [c214]Hao Zhang, Tianpei Yang, Yan Zheng, Jianye Hao, Matthew E. Taylor:
PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning. AAMAS 2024: 2585-2587 - [c213]Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng:
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles. AAMAS 2024: 2609-2611 - [c212]Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan:
vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms. AAMAS 2024: 2621-2623 - [c211]Surya Penmetsa, Fahad Rahman Amik, Zhanguang Zhang, Yingying Fu, Yingxue Zhang, Wulong Liu, Jianye Hao:
Generalizable and Relation Sensitive Netlist Representation for Analog Circuit Design. ACM Great Lakes Symposium on VLSI 2024: 287-291 - [c210]Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian:
Sample-Efficient Quality-Diversity by Cooperative Coevolution. ICLR 2024 - [c209]Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu:
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. ICLR 2024 - [c208]Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu:
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework. ICLR 2024 - [c207]Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng:
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback. ICLR 2024 - [c206]Yaodong Yang, Guangyong Chen, Jianye Hao, Pheng-Ann Heng:
Sample-Efficient Multiagent Reinforcement Learning with Reset Replay. ICML 2024 - [c205]Zijie Geng, Jie Wang, Ziyan Liu, Siyuan Xu, Zhentao Tang, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu:
Reinforcement Learning within Tree Search for Fast Macro Placement. ICML 2024 - [c204]Longxin Kou, Fei Ni, Yan Zheng, Jinyi Liu, Yifu Yuan, Zibin Dong, Jianye Hao:
KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations. ICML 2024 - [c203]Yufei Kuang, Jie Wang, Yuyan Zhou, Xijun Li, Fangzhou Zhu, Jianye Hao, Feng Wu:
Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph. ICML 2024 - [c202]Pengyi Li, Yan Zheng, Hongyao Tang, Xian Fu, Jianye Hao:
EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search. ICML 2024 - [c201]Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Fazl Barez:
Value-Evolutionary-Based Reinforcement Learning. ICML 2024 - [c200]Jiashun Liu, Jianye Hao, Yi Ma, Shuyin Xia:
Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation. ICML 2024 - [c199]Haoyu Ma, Jialong Wu, Ningya Feng, Chenjun Xiao, Dong Li, Jianye Hao, Jianmin Wang, Mingsheng Long:
HarmonyDream: Task Harmonization Inside World Models. ICML 2024 - [c198]Yi Ma, Jianye Hao, Hebin Liang, Chenjun Xiao:
Rethinking Decision Transformer via Hierarchical Reinforcement Learning. ICML 2024 - [c197]Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu:
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design. ICML 2024 - [c196]Zhihai Wang, Jie Wang, Dongsheng Zuo, Yunjie Ji, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu:
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design. ICML 2024 - [c195]Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang:
Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting. ICML 2024 - [c194]Francesco Cursi, Marcus Kalander, Shuang Wu, Xidi Xue, Yu Tian, Guangjian Tian, Xingyue Quan, Jianye Hao:
Safe Table Tennis Swing Stroke with Low-Cost Hardware. ICRA 2024: 18279-18285 - [c193]Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li:
DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation. KDD 2024: 3128-3139 - [c192]Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan:
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. KDD 2024: 6301-6311 - [c191]Shiwei Zhao, Xi Yuan, Runze Wu, Zhipeng Hu, Haoyu Liu, Kai Wang, Yujing Hu, Tangjie Lv, Changjie Fan, Xin T. Tong, Jiangze Han, Yan Zheng, Jianye Hao:
The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. WWW (Companion Volume) 2024: 443-452 - [i142]Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao:
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR abs/2401.05960 (2024) - [i141]Pengyi Li, Jianye Hao, Hongyao Tang, Xian Fu, Yan Zheng, Ke Tang:
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey. CoRR abs/2401.11963 (2024) - [i140]Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Hui-Ling Zhen, Jianye Hao, Qiang Xu, Mingxuan Yuan, Junchi Yan:
LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation. CoRR abs/2401.12224 (2024) - [i139]Zibin Dong, Jianye Hao, Yifu Yuan, Fei Ni, Yitian Wang, Pengyi Li, Yan Zheng:
DiffuserLite: Towards Real-time Diffusion Planning. CoRR abs/2401.15443 (2024) - [i138]Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng:
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback. CoRR abs/2402.02423 (2024) - [i137]Xinglin Zhou, Yifu Yuan, Shaofu Yang, Jianye Hao:
MENTOR: Guiding Hierarchical Reinforcement Learning with Human Feedback and Dynamic Distance Constraint. CoRR abs/2402.14244 (2024) - [i136]Jinyi Liu, Yifu Yuan, Jianye Hao, Fei Ni, Lingzhi Fu, Yibin Chen, Yan Zheng:
Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language Models. CoRR abs/2402.14245 (2024) - [i135]Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian:
Reinforced In-Context Black-Box Optimization. CoRR abs/2402.17423 (2024) - [i134]Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan:
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. CoRR abs/2403.00012 (2024) - [i133]Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao:
SheetAgent: A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models. CoRR abs/2403.03636 (2024) - [i132]Chenjia Bai, Lingxiao Wang, Jianye Hao, Zhuoran Yang, Bin Zhao, Zhen Wang, Xuelong Li:
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning. CoRR abs/2404.19346 (2024) - [i131]Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan:
vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement. CoRR abs/2405.08638 (2024) - [i130]Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan:
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. CoRR abs/2405.11024 (2024) - [i129]Yueen Ma, Zixing Song, Yuzheng Zhuang, Jianye Hao, Irwin King:
A Survey on Vision-Language-Action Models for Embodied AI. CoRR abs/2405.14093 (2024) - [i128]Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li, Jianye Hao, Mingsheng Long:
iVideoGPT: Interactive VideoGPTs are Scalable World Models. CoRR abs/2405.15223 (2024) - [i127]Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma, Pengyi Li, Yan Zheng:
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making. CoRR abs/2406.09509 (2024) - [i126]Mohammad Dehghan, Mohammad Ali Alomrani, Sunyam Bagga, David Alfonso-Hermelo, Khalil Bibi, Abbas Ghaddar, Yingxue Zhang, Xiaoguang Li, Jianye Hao, Qun Liu, Jimmy Lin, Boxing Chen, Prasanna Parthasarathi, Mahdi Biparva, Mehdi Rezagholizadeh:
EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems. CoRR abs/2406.10393 (2024) - [i125]Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar:
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR abs/2406.19741 (2024) - [i124]Min Zhang, Jianye Hao, Xian Fu, Peilong Han, Hao Zhang, Lei Shi, Hongyao Tang, Yan Zheng:
MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task Planning. CoRR abs/2407.05047 (2024) - [i123]Yihang Xiao, Jinyi Liu, Yan Zheng, Xiaohan Xie, Jianye Hao, Mingzhi Li, Ruitao Wang, Fei Ni, Yuxiao Li, Jintian Luo, Shaoqing Jiao, Jiajie Peng:
CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis. CoRR abs/2407.09811 (2024) - [i122]Zhihai Wang, Zijie Geng, Zhaojie Tu, Jie Wang, Yuxi Qian, Zhexuan Xu, Ziyan Liu, Siyuan Xu, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Bin Li, Yongdong Zhang, Feng Wu:
Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms. CoRR abs/2407.15026 (2024) - [i121]Yueen Ma, Dafeng Chi, Shiguang Wu, Yuecheng Liu, Yuzheng Zhuang, Jianye Hao, Irwin King:
Actra: Optimized Transformer Architecture for Vision-Language-Action Models in Robot Learning. CoRR abs/2408.01147 (2024) - [i120]Yifu Yuan, Zhenrui Zheng, Zibin Dong, Jianye Hao:
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning. CoRR abs/2408.15501 (2024) - 2023
- [j41]Yuanqiang Yu, Peng Zhang, Kai Zhao, Yan Zheng, Jianye Hao:
Accelerating deep reinforcement learning via knowledge-guided policy network. Auton. Agents Multi Agent Syst. 37(1): 17 (2023) - [j40]Tianpei Yang, Weixun Wang, Jianye Hao, Matthew E. Taylor, Yong Liu, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Chunxu Ren, Ye Huang, Jiangcheng Zhu, Yang Gao:
ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. 37(2): 45 (2023) - [j39]Wei Chen, Zhiwei Li, Hongyi Fang, Qianyuan Yao, Cheng Zhong, Jianye Hao, Qi Zhang, Xuanjing Huang, Jiajie Peng, Zhongyu Wei:
A benchmark for automatic medical consultation system: frameworks, tasks and datasets. Bioinform. 39(1) (2023) - [j38]Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao:
A Unified Framework for Layout Pattern Analysis With Deep Causal Estimation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(4): 1199-1211 (2023) - [j37]Yuanheng Zhu, Weifan Li, Mengchen Zhao, Jianye Hao, Dongbin Zhao:
Empirical Policy Optimization for n-Player Markov Games. IEEE Trans. Cybern. 53(10): 6443-6455 (2023) - [j36]Yunqi Wang, Furui Liu, Zhitang Chen, Yik-Chung Wu, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
Contrastive-ACE: Domain Generalization Through Alignment of Causal Mechanisms. IEEE Trans. Image Process. 32: 235-250 (2023) - [j35]Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Dong Li, Jianye Hao, Wulong Liu:
Differentiable Logic Machines. Trans. Mach. Learn. Res. 2023 (2023) - [j34]Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao:
Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3966-3978 (2023) - [j33]Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen:
Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. 41(4): 114:1-114:25 (2023) - [c190]Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates:
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. AAAI 2023: 4711-4719 - [c189]Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni, Zhigang Li, Jianye Hao:
SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem. AAAI 2023: 8720-8727 - [c188]Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo:
Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. AAAI 2023: 10435-10443 - [c187]Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng:
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network. AAAI 2023: 14400-14407 - [c186]Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates:
Spectral Augmentations for Graph Contrastive Learning. AISTATS 2023: 11213-11266 - [c185]Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan:
Off-Beat Multi-Agent Reinforcement Learning. AAMAS 2023: 2424-2426 - [c184]Jizhou Wu, Tianpei Yang, Xiaotian Hao, Jianye Hao, Yan Zheng, Weixun Wang, Matthew E. Taylor:
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. AAMAS 2023: 2460-2462 - [c183]Siqi Chen, Qisong Sun, Heng You, Tianpei Yang, Jianye Hao:
Transfer Learning based Agent for Automated Negotiation. AAMAS 2023: 2895-2898 - [c182]Yuanyi Ren, Hang Ni, Yingxue Zhang, Xi Wang, Guojie Song, Dong Li, Jianye Hao:
Dual-Process Graph Neural Network for Diversified Recommendation. CIKM 2023: 2126-2135 - [c181]Hebin Liang, Zibin Dong, Yi Ma, Xiaotian Hao, Yan Zheng, Jianye Hao:
A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving. CIKM 2023: 4695-4701 - [c180]Mingyang Sun, Mengchen Zhao, Yaqing Hou, Minglei Li, Huang Xu, Songcen Xu, Jianye Hao:
Co-speech Gesture Synthesis by Reinforcement Learning with Contrastive Pretrained Rewards. CVPR 2023: 2331-2340 - [c179]Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Ziqing Gong, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu:
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow. DAI 2023: 6:1-6:10 - [c178]Shixiong Kai, Chak-Wa Pui, Fangzhou Wang, Shougao Jiang, Bin Wang, Yu Huang, Jianye Hao:
TOFU: A Two-Step Floorplan Refinement Framework for Whitespace Reduction. DATE 2023: 1-5 - [c177]Junyi Wang, Yuanyang Zhu, Zhi Wang, Yan Zheng, Jianye Hao, Chunlin Chen:
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. ECAI 2023: 2475-2482 - [c176]Yongliang Lv, Yuanqiang Yu, Yan Zheng, Jianye Hao, Yongming Wen, Yue Yu:
Limited Information Opponent Modeling. ICANN (8) 2023: 511-522 - [c175]Peiyu Wang, Anqi Lu, Xing Li, Junjie Ye, Lei Chen, Mingxuan Yuan, Jianye Hao, Junchi Yan:
EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing. ICCAD 2023: 1-9 - [c174]Jianyong Yuan, Peiyu Wang, Junjie Ye, Mingxuan Yuan, Jianye Hao, Junchi Yan:
EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment. ICCAD 2023: 1-9 - [c173]Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng:
Traj-MAE: Masked Autoencoders for Trajectory Prediction. ICCV 2023: 8317-8328 - [c172]Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia:
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. ICLR 2023 - [c171]Jianye Hao, Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang:
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. ICLR 2023 - [c170]Jianye Hao, Pengyi Li, Hongyao Tang, Yan Zheng, Xian Fu, Zhaopeng Meng:
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. ICLR 2023 - [c169]Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang:
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks. ICLR 2023 - [c168]Yinchuan Li, Shuang Luo, Yunfeng Shao, Jianye Hao:
GFlowNets with Human Feedback. Tiny Papers @ ICLR 2023 - [c167]Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao:
CFlowNets: Continuous Control with Generative Flow Networks. ICLR 2023 - [c166]Haozhi Wang, Yunfeng Shao, Jianye Hao, Yinchuan Li:
Regularized Offline GFlowNets. Tiny Papers @ ICLR 2023 - [c165]Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han:
Out-of-distribution Detection with Implicit Outlier Transformation. ICLR 2023 - [c164]Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan:
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. ICLR 2023 - [c163]Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo:
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer. ICML 2023: 18346-18364 - [c162]Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu:
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution. ICML 2023: 19490-19503 - [c161]Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang:
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL. ICML 2023: 26087-26105 - [c160]Ming Yan, Junjie Chen, Hangyu Mao, Jiajun Jiang, Jianye Hao, Xingjian Li, Zhao Tian, Zhichao Chen, Dong Li, Zhangkong Xian, Yanwei Guo, Wulong Liu, Bin Wang, Yuefeng Sun, Yongshun Cui:
Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. ICSE-SEIP 2023: 343-354 - [c159]Yinchuan Li, Zhigang Li, Wenqian Li, Yunfeng Shao, Yan Zheng, Jianye Hao:
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. IJCAI 2023: 3939-3947 - [c158]Yuanqiang Yu, Tianpei Yang, Yongliang Lv, Yan Zheng, Jianye Hao:
T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler. IJCNN 2023: 1-8 - [c157]Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu:
Generalized Universal Domain Adaptation with Generative Flow Networks. ACM Multimedia 2023: 8304-8315 - [c156]