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RL + Operations Research Panel
Jim Dai · Fei Fang · Shie Mannor · Yuandong Tian · Zhiwei (Tony) Qin · Zongqing Lu
Panelists: Jim Dai (Cornell/CUHK), Fei Fang (CMU), Shie Mannor (Technion & Nvidia Research), Yuandong Tian (Facebook AI Research)
Co-Chairs: Zhiwei (Tony) Qin (Didi) and Zongqing Lu (PKU) （Moderator）
Author Information
Jim Dai (Cornell University)
Fei Fang (Carnegie Mellon University)
Shie Mannor (Technion)
Yuandong Tian (Facebook AI Research)
Zhiwei (Tony) Qin (Didi Research America)
Zongqing Lu (Peking University)
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2021 Poster: Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing »
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2021 Oral: Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing »
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2021 Poster: Detecting Rewards Deterioration in Episodic Reinforcement Learning »
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2021 Poster: Understanding self-supervised learning dynamics without contrastive pairs »
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2021 Spotlight: Confidence-Budget Matching for Sequential Budgeted Learning »
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2021 Oral: Understanding self-supervised learning dynamics without contrastive pairs »
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2021 Poster: Value Iteration in Continuous Actions, States and Time »
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2021 Spotlight: Value Iteration in Continuous Actions, States and Time »
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2021 Poster: FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning »
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2021 Oral: Few-Shot Neural Architecture Search »
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2021 Poster: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks »
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2019 Poster: Exploration Conscious Reinforcement Learning Revisited »
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