Jianye Hao

AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search AAAI 2026 MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning ICML 2025 Trajectory World Models for Heterogeneous Environments ICML 2025 Accelerating Large Language Model Reasoning via Speculative Search ICML 2025 Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples ICML 2025 STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization ICML 2025 R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models ICML 2025 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking ICML 2025 Differentiable Integer Linear Programming ICLR 2025 Lightweight Neural App Control ICLR 2025 DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent ICLR 2025 The Graph’s Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation IJCAI 2025 Reinforced In-Context Black-Box Optimization IJCAI 2025 SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates AAAI 2025 Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning AAAI 2025 DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering ACL 2025 War of Thoughts: Competition Stimulates Stronger Reasoning in Large Language Models ACL 2025 3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds ICLR 2025 SPA-BENCH: A COMPREHENSIVE BENCHMARK FOR SMARTPHONE AGENT EVALUATION ICLR 2025 EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights CVPR 2025 Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation CVPR 2025 A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization ICLR 2025 RoboAnnotatorX: A Comprehensive and Universal Annotation Framework for Accurate Understanding of Long-horizon Robot Demonstration ICCV 2025 Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming ICLR 2025 Computing Circuits Optimization via Model-Based Circuit Genetic Evolution ICLR 2025 LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement ICLR 2025 A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design ICML 2024 HarmonyDream: Task Harmonization Inside World Models ICML 2024 Rethinking Decision Transformer via Hierarchical Reinforcement Learning ICML 2024 Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation ICML 2024 EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search ICML 2024 Value-Evolutionary-Based Reinforcement Learning ICML 2024 Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph ICML 2024 KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations ICML 2024 Reinforcement Learning within Tree Search for Fast Macro Placement ICML 2024 Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework ICLR 2024 Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search UAI 2024 ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles IJCAI 2024 Improving Unsupervised Hierarchical Representation with Reinforcement Learning CVPR 2024 Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces AAAI 2024 OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024 PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning AAAI 2024 A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning AAAI 2024 PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling AAAI 2024 vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement IJCAI 2024 AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model ICLR 2024 Sample-Efficient Quality-Diversity by Cooperative Coevolution ICLR 2024 Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback ICLR 2024 Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts CVPR 2024 EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems ACL 2024 Sample-Efficient Multiagent Reinforcement Learning with Reset Replay ICML 2024 PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation NIPS 2024 FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation NIPS 2024 Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NIPS 2024 iVideoGPT: Interactive VideoGPTs are Scalable World Models NIPS 2024 The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space NIPS 2024 CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making NIPS 2024 Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework NIPS 2024 Unlock the Intermittent Control Ability of Model Free Reinforcement Learning NIPS 2024 DiffuserLite: Towards Real-time Diffusion Planning NIPS 2024 A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design ICML 2024 Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting ICML 2024 Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards CVPR 2023 Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems AAAI 2023 SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem AAAI 2023 Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning AAAI 2023 Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network AAAI 2023 Spectral Augmentations for Graph Contrastive Learning AISTATS 2023 Traj-MAE: Masked Autoencoders for Trajectory Prediction ICCV 2023 EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model ICLR 2023 Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks ICLR 2023 ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation ICLR 2023 CFlowNets: Continuous Control with Generative Flow Networks ICLR 2023 Out-of-distribution Detection with Implicit Outlier Transformation ICLR 2023 DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks ICLR 2023 Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection ICLR 2023 ChiPFormer: Transferable Chip Placement via Offline Decision Transformer ICML 2023 RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution ICML 2023 MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL ICML 2023 Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs IJCAI 2023 Online Ad Hoc Teamwork under Partial Observability ICLR 2022 Neuro-Symbolic Hierarchical Rule Induction ICML 2022 Learning State Representations via Retracing in Reinforcement Learning ICLR 2022 Socially-Attentive Policy Optimization in Multi-Agent Self-Driving System CORL 2022 Learning Pseudometric-based Action Representations for Offline Reinforcement Learning ICML 2022 Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing NIPS 2022 Multiagent Q-learning with Sub-Team Coordination NIPS 2022 DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning NIPS 2022 The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design NIPS 2022 Versatile Multi-stage Graph Neural Network for Circuit Representation NIPS 2022 GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis NIPS 2022 Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning NIPS 2022 Cross-domain adaptive transfer reinforcement learning based on state-action correspondence UAI 2022 PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations IJCAI 2022 What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator AAAI 2022 HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation ICLR 2022 PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration ICML 2022 Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization ICML 2022 Offline-to-Online Co-Evolutional User Simulator and Dialogue System EMNLP 2022 Individual Reward Assisted Multi-Agent Reinforcement Learning ICML 2022 Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning AAAI 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NIPS 2021 Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning NIPS 2021 A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems NIPS 2021 Ordering-Based Causal Discovery with Reinforcement Learning IJCAI 2021 Dynamic Bottleneck for Robust Self-Supervised Exploration NIPS 2021 Model-Based Reinforcement Learning via Imagination with Derived Memory NIPS 2021 Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction AAAI 2021 Adaptive Online Packing-guided Search for POMDPs NIPS 2021 Addressing Action Oscillations through Learning Policy Inertia AAAI 2021 CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models CVPR 2021 Principled Exploration via Optimistic Bootstrapping and Backward Induction ICML 2021 Action Semantics Network: Considering the Effects of Actions in Multiagent Systems ICLR 2020 Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising ICML 2020 Q-value Path Decomposition for Deep Multiagent Reinforcement Learning ICML 2020 From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning AAAI 2020 Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning AAAI 2020 Multi-Agent Game Abstraction via Graph Attention Neural Network AAAI 2020 Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management AAAI 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving CORL 2020 KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge IJCAI 2020 Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets IJCAI 2020 Efficient Deep Reinforcement Learning via Adaptive Policy Transfer IJCAI 2020 Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning IJCAI 2020 Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising IJCAI 2020 Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping NIPS 2020 An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning AAAI 2019 Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework IJCAI 2019 Towards Efficient Detection and Optimal Response against Sophisticated Opponents IJCAI 2019 Building Personalized Simulator for Interactive Search IJCAI 2019 Explicitly Coordinated Policy Iteration IJCAI 2019 Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces IJCAI 2019 A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents NIPS 2018 Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid IJCAI 2018 Defending Against Man-In-The-Middle Attack in Repeated Games IJCAI 2017 The Dynamics of Reinforcement Social Learning in Cooperative Multiagent Systems IJCAI 2013