Zongzhang Zhang

Efficient Preference Alignment via Pareto Exploration (Student Abstract) AAAI 2026 Meta-Normalizing Flow for Data-Limited Offline Meta-Reinforcement Learning (Student Abstract) AAAI 2026 Multi-agent In-context Coordination via Decentralized Memory Retrieval AAAI 2026 Reward Model Evaluation via Automatically-Ranked Policy Alignment AAAI 2026 Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning ICML 2025 Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling ACL 2025 Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation ICLR 2025 Reinforced In-Context Black-Box Optimization IJCAI 2025 Reward Models in Deep Reinforcement Learning: A Survey IJCAI 2025 ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning AAAI 2024 Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning ICLR 2024 Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics ICML 2024 Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration ICML 2024 Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization IJCAI 2024 Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning AAAI 2024 Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract) AAAI 2024 Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations AAAI 2024 Language Model Self-improvement by Reinforcement Learning Contemplation ICLR 2024 Multi-Agent Domain Calibration with a Handful of Offline Data NeurIPS 2024 Multi-Expert Distillation for Few-Shot Coordination (Student Abstract) AAAI 2024 ODRL: A Benchmark for Off-Dynamics Reinforcement Learning NeurIPS 2024 Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning ICLR 2024 Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract) AAAI 2023 Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract) AAAI 2023 Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data ICLR 2023 Expert Data Augmentation in Imitation Learning (Student Abstract) AAAI 2023 Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract) AAAI 2023 Model-Based Offline Weighted Policy Optimization (Student Abstract) AAAI 2023 Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning AAAI 2023 Policy Regularization with Dataset Constraint for Offline Reinforcement Learning ICML 2023 Retrosynthetic Planning with Dual Value Networks ICML 2023 Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract) AAAI 2023 Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy AAAI 2022 Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning NeurIPS 2022 Efficient Multi-agent Communication via Self-supervised Information Aggregation NeurIPS 2022 Efficient Multi-Agent Communication via Shapley Message Value IJCAI 2022 Multi-Agent Concentrative Coordination with Decentralized Task Representation IJCAI 2022 Multi-agent Dynamic Algorithm Configuration NeurIPS 2022 Multi-Agent Incentive Communication via Decentralized Teammate Modeling AAAI 2022 Adaptive Online Packing-guided Search for POMDPs NeurIPS 2021 Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning NeurIPS 2021 Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract) AAAI 2021 LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) AAAI 2021 Efficient Deep Reinforcement Learning via Adaptive Policy Transfer IJCAI 2020 Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract) AAAI 2020 Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract) AAAI 2020 Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets IJCAI 2020 Monte Carlo Tree Search for Policy Optimization IJCAI 2019 A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents NeurIPS 2018 Weighted Double Q-learning IJCAI 2017 Covering Number for Efficient Heuristic-based POMDP Planning ICML 2014