Chongjie Zhang

EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models EMNLP 2025 Enhancing Decision-Making of Large Language Models via Actor-Critic ICML 2025 Episodic Novelty Through Temporal Distance ICLR 2025 Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset ICLR 2025 Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks ICML 2025 Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving ICLR 2025 Bayesian Design Principles for Offline-to-Online Reinforcement Learning ICML 2024 Efficient Multi-agent Reinforcement Learning by Planning ICLR 2024 GOMAA-Geo: GOal Modality Agnostic Active Geo-localization NeurIPS 2024 Imitation Learning from Observation with Automatic Discount Scheduling ICLR 2024 Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design ICLR 2024 Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners ICML 2024 STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations IJCAI 2024 Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets ICLR 2024 Towards Robust Offline Reinforcement Learning under Diverse Data Corruption ICLR 2024 Conservative Offline Policy Adaptation in Multi-Agent Games NeurIPS 2023 Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery AAAI 2023 Offline Meta Reinforcement Learning with In-Distribution Online Adaptation ICML 2023 Symmetry-Aware Robot Design with Structured Subgroups ICML 2023 The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning ICLR 2023 Unsupervised Behavior Extraction via Random Intent Priors NeurIPS 2023 What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? ICML 2023 Active Hierarchical Exploration with Stable Subgoal Representation Learning ICLR 2022 Context-Aware Sparse Deep Coordination Graphs ICLR 2022 CUP: Critic-Guided Policy Reuse NeurIPS 2022 Individual Reward Assisted Multi-Agent Reinforcement Learning ICML 2022 LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning NeurIPS 2022 Low-Rank Modular Reinforcement Learning via Muscle Synergy NeurIPS 2022 Multi-Agent Concentrative Coordination with Decentralized Task Representation IJCAI 2022 Multi-Agent Incentive Communication via Decentralized Teammate Modeling AAAI 2022 Non-Linear Coordination Graphs NeurIPS 2022 Offline Reinforcement Learning with Value-based Episodic Memory ICLR 2022 On the Role of Discount Factor in Offline Reinforcement Learning ICML 2022 Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL ICLR 2022 RORL: Robust Offline Reinforcement Learning via Conservative Smoothing NeurIPS 2022 Safe Opponent-Exploitation Subgame Refinement NeurIPS 2022 Self-Organized Polynomial-Time Coordination Graphs ICML 2022 Celebrating Diversity in Shared Multi-Agent Reinforcement Learning NeurIPS 2021 DOP: Off-Policy Multi-Agent Decomposed Policy Gradients ICLR 2021 Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration NeurIPS 2021 Generalizable Episodic Memory for Deep Reinforcement Learning ICML 2021 Learning Subgoal Representations with Slow Dynamics ICLR 2021 MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration ICML 2021 Model-Based Reinforcement Learning via Imagination with Derived Memory NeurIPS 2021 Offline Reinforcement Learning with Reverse Model-based Imagination NeurIPS 2021 On the Estimation Bias in Double Q-Learning NeurIPS 2021 QPLEX: Duplex Dueling Multi-Agent Q-Learning ICLR 2021 Reward-Constrained Behavior Cloning IJCAI 2021 RODE: Learning Roles to Decompose Multi-Agent Tasks ICLR 2021 Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization NeurIPS 2021 Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning NeurIPS 2020 Episodic Reinforcement Learning with Associative Memory ICLR 2020 Influence-Based Multi-Agent Exploration ICLR 2020 Learning Nearly Decomposable Value Functions Via Communication Minimization ICLR 2020 Object-Oriented Dynamics Learning through Multi-Level Abstraction AAAI 2020 ROMA: Multi-Agent Reinforcement Learning with Emergent Roles ICML 2020 Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards NeurIPS 2019 Towards Efficient Detection and Optimal Response against Sophisticated Opponents IJCAI 2019 Object-Oriented Dynamics Predictor NeurIPS 2018 Co-Optimizating Multi-Agent Placement with Task Assignment and Scheduling IJCAI 2016 Fairness in Multi-Agent Sequential Decision-Making NeurIPS 2014