Jianye Hao

43

Papers

86

Total Citations

Papers (43)

Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling

Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments

Accelerating Large Language Model Reasoning via Speculative Search

Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces

EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights

Reinforcement Learning within Tree Search for Fast Macro Placement

KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations

Value-Evolutionary-Based Reinforcement Learning

EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search

Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation

Rethinking Decision Transformer via Hierarchical Reinforcement Learning

HarmonyDream: Task Harmonization Inside World Models

A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design

Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting

A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design

Sample-Efficient Multiagent Reinforcement Learning with Reset Replay

Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models

Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards

Traj-MAE: Masked Autoencoders for Trajectory Prediction

Improving Unsupervised Hierarchical Representation with Reinforcement Learning

Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation

SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning

A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents

Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping

Model-Based Reinforcement Learning via Imagination with Derived Memory

Dynamic Bottleneck for Robust Self-Supervised Exploration

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning

Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning

A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems

Adaptive Online Packing-guided Search for POMDPs

Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning

GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis

Versatile Multi-stage Graph Neural Network for Circuit Representation

The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design

DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning

Multiagent Q-learning with Sub-Team Coordination

Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing