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Chongjie Zhang

61 papers · 2014–2025 · 6 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (47) 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (11) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (20) 🀝 Dynamic Duo (14) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ† Keyword Champion (2) ⚑ Prolific Year (7) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (170) πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (61) πŸ“ˆ Trend Setter

Conferences

ICLR (20) NIPS (19) ICML (13) IJCAI (5) AAAI (3) EMNLP (1)

Top co-authors

Hao Hu (14) Jianhao Wang (13) Tonghan Wang (9) Yiqin Yang (9) Qianchuan Zhao (8) Guangxiang Zhu (7) Changjie Fan (7) Chengjie Wu (7) Jun Yang (7) Heng Dong (6)

Keywords

multi-agent reinforcement learning (10) offline reinforcement learning (7) sample efficiency (4) model-based reinforcement learning (4) deep reinforcement learning (3) distribution shift (3) multi-agent system (3) value factorization (2) cooperative learning (2) intrinsic reward (2) communication efficiency (2) imitation learning (2) continuous control (2) policy optimization (2) reinforcement learning (2) game theory (2) mutual information (2) value function (2) nash equilibrium (2) zero-sum game (2)

Papers

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