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Ling Pan

28 papers · 2019–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (47) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ† Grand Slam ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (139)

Venues

NeurIPS (8) AAAI (5) ICLR (5) ICML (5) CoRL (1) CVPR (1) ICCV (1) IJCAI (1) UAI (1)

Top co-authors

Longbo Huang (9) Yoshua Bengio (6) Qingpeng Cai (6) Dinghuai Zhang (6) Haoran He (5) Emmanuel Bengio (3) Jiashun Liu (3) Aaron Courville (3) Huazhe Xu (3) Pihe Hu (2)

Research topics

Machine Learning (20) Reinforcement Learning (17) Methods (16) Artificial Intelligence (13) Learning Types Β· Machine Learning (13) Core AI (12) Deep Learning (10) Applications (10) Models (7) Learning Types Β· Deep Learning (5) Optimization & Theory (5) Mathematics & Optimization (4) Application Areas (4) Core Methods (4) Optimization (4)

Keywords

generative flow network (10) reinforcement learning (4) deep reinforcement learning (4) deep deterministic policy gradient (3) multi-agent reinforcement learning (3) softmax operator (2) credit assignment (2) reward matching (2) energy-based model (2) diffusion model (2) sparse reward (2) continuous control (2) markov decision process (2) stochastic policy (2) value function (2) model-based reinforcement learning (2) video generation (2) model compression (2) sample efficiency (2) gflownet (2)

Papers

Pre-Trained Video Generative Models as World Simulators AAAI 2026 Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering ICCV 2025 Flow Factorization for Efficient Generative Flow Networks AAAI 2025 Learning to Sample Effective and Diverse Prompts for Text-to-Image Generation CVPR 2025 Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets ICLR 2025 Neuroplastic Expansion in Deep Reinforcement Learning ICLR 2025 Random Policy Evaluation Uncovers Policies of Generative Flow Networks ICML 2025 The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning ICML 2025 Towards Robust, Efficient, and Practical Decision-Making: From Reward-Maximizing Deep Reinforcement Learning to Reward-Matching GFlowNets AAAI 2025 Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective CoRL 2024 Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning NeurIPS 2024 Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training NeurIPS 2024 Learning to Scale Logits for Temperature-Conditional GFlowNets ICML 2024 Pre-Training and Fine-Tuning Generative Flow Networks ICLR 2024 QGFN: Controllable Greediness with Action Values NeurIPS 2024 Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training NeurIPS 2024 Better Training of GFlowNets with Local Credit and Incomplete Trajectories ICML 2023 Generative Augmented Flow Networks ICLR 2023 Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets NeurIPS 2023 RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch ICLR 2023 Stochastic Generative Flow Networks UAI 2023 E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance NeurIPS 2022 Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification ICML 2022 Regularized Softmax Deep Multi-Agent Q-Learning NeurIPS 2021 Deterministic Value-Policy Gradients AAAI 2020 Reinforcement Learning with Dynamic Boltzmann Softmax Updates IJCAI 2020 Softmax Deep Double Deterministic Policy Gradients NeurIPS 2020 A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems AAAI 2019