A Short-Text Oriented Clustering Method for Hot Topics Extraction. - Yan Zheng 002; Zhao-Peng Meng; Chao Xu 003 (Int. J. Softw. Eng. Knowl. Eng., 2015)

Layered modeling and generation of Pollock's drip style. - Yan Zheng 002; Xuecheng Nie; Zhao-Peng Meng; Wei Feng 005; Kang Zhang 001 (Vis. Comput., 2015)

Preliminary Application of Gesture Recognition to Virtual Acupuncture. - Mu Zhang 003; Yan Zheng 002; Chenhui Cui; Zhaopeng Meng; Chung-Ming Own (ISCID (1), 2017)

SOMR: Towards a Security-Oriented MapReduce Infrastructure. - Rui Zhao; Zhao-Peng Meng; Yan Zheng 002; Qiangguo Jin; Anbang Ruan; Hanglun Xie (TrustCom/BigDataSE/ICESS, 2017)

An Accurate Modeling Technology Based on Depth Information of Cultural Relics. - Jinchen Zhang; Mu Zhang 003; Yan Zheng 002; Deng Pan; Sihong Zhou (ISCID (1), 2018)

A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents. - Yan Zheng 002; Zhaopeng Meng; Jianye Hao; Zongzhang Zhang; Tianpei Yang; Changjie Fan (NeurIPS, 2018)

Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. - Yan Zheng 002; Zhaopeng Meng; Jianye Hao; Zongzhang Zhang (PRICAI, 2018)

Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. - Yan Zheng 002; Jianye Hao; Zongzhang Zhang (CoRR, 2018)

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. - Tianpei Yang; Zhaopeng Meng; Jianye Hao; Chongjie Zhang; Yan Zheng 002 (CoRR, 2018)

Hierarchical Deep Multiagent Reinforcement Learning. - Hongyao Tang; Jianye Hao; Tangjie Lv; Yingfeng Chen; Zongzhang Zhang; Hangtian Jia; Chunxu Ren; Yan Zheng 002; Changjie Fan; Li Wang (CoRR, 2018)

Real-time predication and navigation on traffic congestion model with equilibrium Markov chain. - Yan Zheng 002; Yanran Li; Chung-Ming Own; Zhaopeng Meng; Mengya Gao (Int. J. Distributed Sens. Networks, 2018)

Localizing multiple software faults based on evolution algorithm. - Yan Zheng 002; Zan Wang; Xiangyu Fan; Xiang Chen 005; Zijiang Yang 006 (J. Syst. Softw., 2018)

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. - Tianpei Yang; Jianye Hao; Zhaopeng Meng; Yan Zheng 002; Chongjie Zhang; Ze Zheng (AAMAS, 2019)

Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Reinforcement Learning Framework. - Yaodong Yang 002; Jianye Hao; Yan Zheng 002; Xiaotian Hao; Bofeng Fu (AAMAS, 2019)

Towards Efficient Detection and Optimal Response against Sophisticated Opponents. - Tianpei Yang; Jianye Hao; Zhaopeng Meng; Chongjie Zhang; Yan Zheng 002; Ze Zheng (IJCAI, 2019)

Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework. - Yaodong Yang 002; Jianye Hao; Yan Zheng 002; Chao Yu 004 (IJCAI, 2019)

Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning. - Yan Zheng 002; Changjie Fan; Xiaofei Xie; Ting Su 001; Lei Ma 003; Jianye Hao; Zhaopeng Meng; Yang Liu 003; Ruimin Shen; Yingfeng Chen (ASE, 2019)

Schedule optimization under fuzzy constraints of vehicle capacity. - Yanan Zhang; Zhaopeng Meng; Yan Zheng 002; Anca L. Ralescu (Fuzzy Optim. Decis. Mak., 2019)

Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management. - Jianwen Sun; Yan Zheng 002; Jianye Hao; Zhaopeng Meng; Yang Liu 003 (AAAI, 2020)

Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning. - Jianwen Sun; Tianwei Zhang 004; Xiaofei Xie; Lei Ma 003; Yan Zheng 002; Kangjie Chen; Yang Liu 003 (AAAI, 2020)

Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning. - Ruimin Shen; Yan Zheng 002; Jianye Hao; Zhaopeng Meng; Yingfeng Chen; Changjie Fan; Yang Liu 003 (IJCAI, 2020)

KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge. - Peng Zhang; Jianye Hao; Weixun Wang; Hongyao Tang; Yi Ma 005; Yihai Duan; Yan Zheng 002 (IJCAI, 2020)

Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments. - Yan Zheng 002; Jianye Hao; Zongzhang Zhang; Zhao-Peng Meng; Xiaotian Hao (J. Comput. Sci. Technol., 2020)

Uncertainty-Aware Low-Rank Q-Matrix Estimation for Deep Reinforcement Learning. - Tong Sang; Hongyao Tang; Jianye Hao; Yan Zheng 002; Zhaopeng Meng (DAI, 2021)

Automatic Web Testing Using Curiosity-Driven Reinforcement Learning. - Yan Zheng 002; Yi Liu 069; Xiaofei Xie; Yepang Liu 001; Lei Ma 003; Jianye Hao; Yang Liu 003 (ICSE, 2021)

A deep reinforcement learning-based agent for negotiation with multiple communication channels. - Xiaoyang Gao; Siqi Chen 001; Yan Zheng 002; Jianye Hao (ICTAI, 2021)

Automatic HMI Structure Exploration Via Curiosity-Based Reinforcement Learning. - Yushi Cao; Yan Zheng 002; Shang-Wei Lin 001; Yang Liu 003; Yon Shin Teo; Yuxuan Toh; Vinay Vishnumurthy Adiga (ASE, 2021)

Detecting and Learning Against Unknown Opponents for Automated Negotiations. - Leling Wu; Siqi Chen 001; Xiaoyang Gao; Yan Zheng 002; Jianye Hao (PRICAI (3), 2021)

Efficient policy detecting and reusing for non-stationarity in Markov games. - Yan Zheng 002; Jianye Hao; Zongzhang Zhang; Zhaopeng Meng; Tianpei Yang; Yanran Li; Changjie Fan (Auton. Agents Multi Agent Syst., 2021)

ED2: An Environment Dynamics Decomposition Framework for World Model Construction. - Cong Wang; Tianpei Yang; Jianye Hao; Yan Zheng 002; Hongyao Tang; Fazl Barez; Jinyi Liu 002; Jiajie Peng; Haiyin Piao; Zhixiao Sun (CoRR, 2021)

Vulnerability Assessment of Deep Reinforcement Learning Models for Power System Topology Optimization. - Yan Zheng 002; Ziming Yan; Kangjie Chen; Jianwen Sun; Yan Xu 005; Yang Liu 003 (IEEE Trans. Smart Grid, 2021)

Efficient Deep Reinforcement Learning via Policy-Extended Successor Feature Approximator. - Yining Li; Tianpei Yang; Jianye Hao; Yan Zheng 002; Hongyao Tang (DAI, 2022)

HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation. - Boyan Li; Hongyao Tang; Yan Zheng 002; Jianye Hao; Pengyi Li 001; Zhen Wang 004; Zhaopeng Meng; Li Wang (ICLR, 2022)

PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. - Pengyi Li 001; Hongyao Tang; Tianpei Yang; Xiaotian Hao; Tong Sang; Yan Zheng 002; Jianye Hao; Matthew E. Taylor; Wenyuan Tao; Zhen Wang 004 (ICML, 2022)

PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations. - Tong Sang; Hongyao Tang; Yi Ma 005; Jianye Hao; Yan Zheng 002; Zhaopeng Meng; Boyan Li; Zhen Wang 004 (IJCAI, 2022)

GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis. - Yushi Cao; Zhiming Li; Tianpei Yang; Hao Zhang 004; Yan Zheng 002; Yi Li 008; Jianye Hao; Yang Liu 003 (NeurIPS, 2022)

A Holistic Automated Software Structure Exploration Framework for Testing. - Yushi Cao; Yon Shin Teo; Yan Zheng 002; Yuxuan Toh; Shang-Wei Lin 001 (SoMeT, 2022)

Cross-domain adaptive transfer reinforcement learning based on state-action correspondence. - Heng You; Tianpei Yang; Yan Zheng 002; Jianye Hao; Matthew E. Taylor (UAI, 2022)

API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks. - Xiaotian Hao; Weixun Wang; Hangyu Mao; Yaodong Yang 002; Dong Li 016; Yan Zheng 002; Zhen Wang 004; Jianye Hao (CoRR, 2022)

PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration. - Pengyi Li 001; Hongyao Tang; Tianpei Yang; Xiaotian Hao; Tong Sang; Yan Zheng 002; Jianye Hao; Matthew E. Taylor; Zhen Wang 004 (CoRR, 2022)

Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes. - Min Zhang; Hongyao Tang; Jianye Hao; Yan Zheng 002 (CoRR, 2022)

ERL-Re2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. - Pengyi Li 001; Hongyao Tang; Jianye Hao; Yan Zheng 002; Xian Fu; Zhaopeng Meng (CoRR, 2022)

A Hierarchical Imitation Learning-based Decision Framework for Autonomous Driving. - Hebin Liang; Zibin Dong; Yi Ma 005; Xiaotian Hao; Yan Zheng 002; Jianye Hao (CIKM, 2023)

BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization. - Junyi Wang; Yuanyang Zhu; Zhi Wang 001; Yan Zheng 002; Jianye Hao; Chunlin Chen (ECAI, 2023)

Limited Information Opponent Modeling. - Yongliang Lv; Yuanqiang Yu; Yan Zheng 002; Jianye Hao; Yongming Wen; Yue Yu (ICANN (8), 2023)

Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks. - Jianye Hao; Xiaotian Hao; Hangyu Mao; Weixun Wang; Yaodong Yang 002; Dong Li 016; Yan Zheng 002; Zhen Wang 004 (ICLR, 2023)

ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation. - Jianye Hao; Pengyi Li 001; Hongyao Tang; Yan Zheng 002; Xian Fu; Zhaopeng Meng (ICLR, 2023)

Neural Episodic Control with State Abstraction. - Zhuo Li; Derui Zhu; Yujing Hu; Xiaofei Xie; Lei Ma 003; Yan Zheng 002; Yan Song; Yingfeng Chen; Jianjun Zhao 001 (ICLR, 2023)

EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. - Yifu Yuan; Jianye Hao; Fei Ni 001; Yao Mu 001; Yan Zheng 002; Yujing Hu; Jinyi Liu 002; Yingfeng Chen; Changjie Fan (ICLR, 2023)

RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution. - Pengyi Li 001; Jianye Hao; Hongyao Tang; Yan Zheng 002; Xian Fu (ICML, 2023)

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL. - Fei Ni 001; Jianye Hao; Yao Mu 001; Yifu Yuan; Yan Zheng 002; Bin Wang 034; Zhixuan Liang (ICML, 2023)

Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs. - Yinchuan Li; Zhigang Li; Wenqian Li; Yunfeng Shao 001; Yan Zheng 002; Jianye Hao (IJCAI, 2023)

T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler. - Yuanqiang Yu; Tianpei Yang; Yongliang Lv; Yan Zheng 002; Jianye Hao (IJCNN, 2023)

An Automatic Test Plan Generation Approach for Automotive Software Testing. - Yushi Cao; Yanran Li; Yon Shin Teo; Yan Zheng 002; Zhexin Liang; Shang-Wei Lin 001 (SoMeT, 2023)

Prompt Injection attack against LLM-integrated Applications. - Yi Liu 069; Gelei Deng; Yuekang Li; Kailong Wang 001; Tianwei Zhang 004; Yepang Liu 001; Haoyu Wang 001; Yan Zheng 002; Yang Liu 003 (CoRR, 2023)

In-Sample Policy Iteration for Offline Reinforcement Learning. - Xiaohan Hu; Yi Ma 005; Chenjun Xiao; Yan Zheng 002; Zhaopeng Meng (CoRR, 2023)

HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach. - Shixi Lian; Yi Ma 005; Jinyi Liu 002; Yan Zheng 002; Zhaopeng Meng (CoRR, 2023)

Ensemble-based Offline-to-Online Reinforcement Learning: From Pessimistic Learning to Optimistic Exploration. - Kai Zhao; Yi Ma 005; Jinyi Liu 002; Yan Zheng 002; Zhaopeng Meng (CoRR, 2023)

Prioritized Trajectory Replay: A Replay Memory for Data-driven Reinforcement Learning. - Jinyi Liu 002; Yi Ma 005; Jianye Hao; Yujing Hu; Yan Zheng 002; Tangjie Lv; Changjie Fan (CoRR, 2023)

Accelerating deep reinforcement learning via knowledge-guided policy network. - Yuanqiang Yu; Peng Zhang; Kai Zhao; Yan Zheng 002; Jianye Hao (Auton. Agents Multi Agent Syst., 2023)

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. - Jinyi Liu 002; Zhi Wang 001; Yan Zheng 002; Jianye Hao; Chenjia Bai; Junjie Ye; Zhen Wang 004; Haiyin Piao; Yang Sun (AAAI, 2024)

Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces. - Xiaotian Hao; Jianye Hao; Chenjun Xiao; Kai Li 022; Dong Li 016; Yan Zheng 002 (AAAI, 2024)

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning. - Jizhou Wu; Jianye Hao; Tianpei Yang; Xiaotian Hao; Yan Zheng 002; Weixun Wang; Matthew E. Taylor (AAAI, 2024)

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning. - Tianpei Yang; Heng You; Jianye Hao; Yan Zheng 002; Matthew E. Taylor (AAAI, 2024)

A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning. - Jinyi Liu 002; Yi Ma 005; Jianye Hao; Yujing Hu; Yan Zheng 002; Tangjie Lv; Changjie Fan (AAMAS, 2024)

PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning. - Hao Zhang 004; Tianpei Yang; Yan Zheng 002; Jianye Hao; Matthew E. Taylor (AAMAS, 2024)

Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts. - Fei Ni 001; Jianye Hao; Shiguang Wu 001; Longxin Kou; Jiashun Liu; Yan Zheng 002; Bin Wang 034; Yuzheng Zhuang (CVPR, 2024)

AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. - Zibin Dong; Yifu Yuan; Jianye Hao; Fei Ni 001; Yao Mu 001; Yan Zheng 002; Yujing Hu; Tangjie Lv; Changjie Fan; Zhipeng Hu (ICLR, 2024)

Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback. - Yifu Yuan; Jianye Hao; Yi Ma 005; Zibin Dong; Hebin Liang; Jinyi Liu 002; Zhixin Feng; Kai Zhao; Yan Zheng 002 (ICLR, 2024)

KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations. - Longxin Kou; Fei Ni 001; Yan Zheng 002; Jinyi Liu 002; Yifu Yuan; Zibin Dong; Jianye Hao (ICML, 2024)

EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search. - Pengyi Li 001; Yan Zheng 002; Hongyao Tang; Xian Fu; Jianye Hao (ICML, 2024)

Improving Neural Logic Machines via Failure Reflection. - Zhiming Li; Yushi Cao; Yan Zheng 002; Xu Liu 014; Bozhi Wu; Tianlin Li; Xiufeng Xu; Junzhe Jiang 002; Yon Shin Teo; Shang-Wei Lin 001; Yang Liu 003 (ICML, 2024)

Value-Evolutionary-Based Reinforcement Learning. - Pengyi Li 001; Jianye Hao; Hongyao Tang; Yan Zheng 002; Fazl Barez (ICML, 2024)

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles. - Kai Zhao; Jianye Hao; Yi Ma 005; Jinyi Liu 002; Yan Zheng 002; Zhaopeng Meng (IJCAI, 2024)

Iteratively Refined Behavior Regularization for Offline Reinforcement Learning. - Yi Ma 005; Jianye Hao; Xiaohan Hu; Yan Zheng 002; Chenjun Xiao (NeurIPS, 2024)

DiffuserLite: Towards Real-time Diffusion Planning. - Zibin Dong; Jianye Hao; Yifu Yuan; Fei Ni 001; Yitian Wang; Pengyi Li 001; Yan Zheng 002 (NeurIPS, 2024)

CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making. - Zibin Dong; Yifu Yuan; Jianye Hao; Fei Ni 001; Yi Ma 005; Pengyi Li 001; Yan Zheng 002 (NeurIPS, 2024)

Unlock the Intermittent Control Ability of Model Free Reinforcement Learning. - Jiashun Liu; Jianye Hao; Xiaotian Hao; Yi Ma 005; Yan Zheng 002; Yujing Hu; Tangjie Lv (NeurIPS, 2024)

PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation. - Fei Ni 001; Jianye Hao; Shiguang Wu 001; Longxin Kou; Yifu Yuan; Zibin Dong; Jinyi Liu 002; Mingzhi Li; Yuzheng Zhuang; Yan Zheng 002 (NeurIPS, 2024)

Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search. - Jiashun Liu; Xiaotian Hao; Jianye Hao; Yan Zheng 002; Yujing Hu; Changjie Fan; Tangjie Lv; Zhipeng Hu (UAI, 2024)

The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies. - Shiwei Zhao; Xi Yuan; Runze Wu 001; Zhipeng Hu; Haoyu Liu; Kai Wang 064; Yujing Hu; Tangjie Lv; Changjie Fan; Xin T. Tong; Jiangze Han; Yan Zheng 002; et al. (WWW (Companion Volume), 2024)

RUDE: Fusing Rules and Deep Learning for High-Speed Drone Path Planning. - Yan Zheng 002; Yanran Li; Yanan Zhang; Shixi Lian; Yongming Wen; Yue Yu (Adv. Artif. Intell. Mach. Learn., 2024)

Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey. - Pengyi Li 001; Jianye Hao; Hongyao Tang; Xian Fu; Yan Zheng 002; Ke Tang (CoRR, 2024)

Enhancing Robotic Manipulation with AI Feedback from Multimodal Large Language Models. - Jinyi Liu 002; Yifu Yuan; Jianye Hao; Fei Ni 001; Lingzhi Fu; Yibin Chen; Yan Zheng 002 (CoRR, 2024)

SheetAgent: A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models. - Yibin Chen; Yifu Yuan; Zeyu Zhang; Yan Zheng 002; Jinyi Liu 002; Fei Ni 001; Jianye Hao (CoRR, 2024)

MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task Planning. - Min Zhang; Jianye Hao; Xian Fu; Peilong Han; Hao Zhang 004; Lei Shi; Hongyao Tang; Yan Zheng 002 (CoRR, 2024)

CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis. - Yihang Xiao; Jinyi Liu 002; Yan Zheng 002; Xiaohan Xie; Jianye Hao; Mingzhi Li; Ruitao Wang; Fei Ni 001; Yuxiao Li; Jintian Luo; Shaoqing Jiao; Jiajie Peng (CoRR, 2024)

Is AI testing beneficial for the manufacturer and social welfare? Optimal test strategy of a smart product. - Yanran Li; Yan Zheng 002; Yon Shin Teo; Shangwei Lin 001 (Expert Syst. Appl., 2024)

War of Thoughts: Competition Stimulates Stronger Reasoning in Large Language Models. - Yibin Chen; Jinyi Liu 002; Yan Zheng 002; Yifu Yuan; Jianye Hao (ACL (Findings), 2025)

DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering. - Rong Cheng; Jinyi Liu 002; Yan Zheng 002; Fei Ni 001; Jiazhen Du; Hangyu Mao; Fuzheng Zhang; Bo Wang 027; Jianye Hao (ACL (1), 2025)

SheetAgent: Towards a Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models. - Yibin Chen; Yifu Yuan; Zeyu Zhang; Yan Zheng 002; Jinyi Liu 002; Fei Ni 001; Jianye Hao; Hangyu Mao; Fuzheng Zhang (WWW, 2025)

Nearest neighbor regression for evolutionary dynamic multiobjective optimization. - Youpeng Deng; Haobo Gao; Yan Zheng 002; Zhaopeng Meng; Yueyang Hua; Qiangguo Jin; Leilei Cao (Inf. Sci., 2025)

Gaussian process regression for evolutionary dynamic multiobjective optimization in complex environments. - Youpeng Deng; Yan Zheng 002; Zhaopeng Meng; Haobo Gao; Yueyang Hua; Qiangguo Jin; Leilei Cao (Swarm Evol. Comput., 2025)

AhaRobot: A Low-Cost Open-Source Bimanual Mobile Manipulator for Embodied AI. - Haiqin Cui; Yifu Yuan; Yan Zheng 002; Jianye Hao (CoRR, 2025)

From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models. - Jinyi Liu 002; Yan Zheng 002; Rong Cheng; Qiyu Wu 006; Wei Guo; Fei Ni 001; Hebin Liang; Yifu Yuan; Hangyu Mao; Fuzheng Zhang; Jianye Hao (CoRR, 2025)

From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation. - Yifu Yuan; Haiqin Cui; Yibin Chen; Zibin Dong; Fei Ni 001; Longxin Kou; Jinyi Liu 002; Pengyi Li 001; Yan Zheng 002; Jianye Hao (CoRR, 2025)

Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language Model. - Jing Liang; Hongyao Tang; Yi Ma 005; Jinyi Liu 002; Yan Zheng 002; Shuyue Hu; Lei Bai 001; Jianye Hao (CoRR, 2025)

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation. - Yifu Yuan; Haiqin Cui; Yaoting Huang; Yibin Chen; Fei Ni 001; Zibin Dong; Pengyi Li 001; Yan Zheng 002; Jianye Hao (CoRR, 2025)