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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)
More from the Same Authors
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2021 : Learning Space Partitions for Path Planning »
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2023 : Optimization or Architecture: What Matters in Non-Linear Filtering? »
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2023 : Optimization or Architecture: What Matters in Non-Linear Filtering? »
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2023 : Optimization or Architecture: What Matters in Non-Linear Filtering? »
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2023 : Deploying research and making real world impact »
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2023 Poster: Learning to Initiate and Reason in Event-Driven Cascading Processes »
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2023 Poster: Learning Hidden Markov Models When the Locations of Missing Observations are Unknown »
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2023 Poster: Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning »
gang Ding · Wanpeng Zhang · Junpeng Yue · XJ Wang · Tiejun Huang · Zongqing Lu -
2023 Poster: PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient »
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2023 Poster: Representation-Driven Reinforcement Learning »
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2023 Poster: Reward-Mixing MDPs with Few Latent Contexts are Learnable »
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2022 Poster: Divergence-Regularized Multi-Agent Actor-Critic »
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2022 Poster: Difference Advantage Estimation for Multi-Agent Policy Gradients »
yueheng li · Guangming Xie · Zongqing Lu -
2022 Poster: Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning »
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2022 Spotlight: Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning »
Haoqi Yuan · Zongqing Lu -
2022 Spotlight: Divergence-Regularized Multi-Agent Actor-Critic »
Kefan Su · Zongqing Lu -
2022 Spotlight: Difference Advantage Estimation for Multi-Agent Policy Gradients »
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2022 Poster: Analysis of Stochastic Processes through Replay Buffers »
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2022 Poster: Denoised MDPs: Learning World Models Better Than the World Itself »
Tongzhou Wang · Simon Du · Antonio Torralba · Phillip Isola · Amy Zhang · Yuandong Tian -
2022 Poster: Actor-Critic based Improper Reinforcement Learning »
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2022 Poster: Optimizing Tensor Network Contraction Using Reinforcement Learning »
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2022 Poster: The Geometry of Robust Value Functions »
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2022 Spotlight: Denoised MDPs: Learning World Models Better Than the World Itself »
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2022 Spotlight: The Geometry of Robust Value Functions »
Kaixin Wang · Navdeep Kumar · Kuangqi Zhou · Bryan Hooi · Jiashi Feng · Shie Mannor -
2022 Spotlight: Actor-Critic based Improper Reinforcement Learning »
Mohammadi Zaki · Avi Mohan · Aditya Gopalan · Shie Mannor -
2022 Spotlight: Analysis of Stochastic Processes through Replay Buffers »
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2022 Spotlight: Optimizing Tensor Network Contraction Using Reinforcement Learning »
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2022 Poster: Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms »
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2022 Spotlight: Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms »
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2021 : Invited Speaker: Shie Mannor: Lenient Regret »
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2021 : Spotlight »
Zhiwei (Tony) Qin · Xianyuan Zhan · Meng Qi · Ruihan Yang · Philip Ball · Hamsa Bastani · Yao Liu · Xiuwen Wang · Haoran Xu · Tony Z. Zhao · Lili Chen · Aviral Kumar -
2021 Workshop: Reinforcement Learning for Real Life »
Yuxi Li · Minmin Chen · Omer Gottesman · Lihong Li · Zongqing Lu · Rupam Mahmood · Niranjani Prasad · Zhiwei (Tony) Qin · Csaba Szepesvari · Matthew Taylor -
2021 Poster: Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing »
Cheng Fu · Hanxian Huang · Xinyun Chen · Yuandong Tian · Jishen Zhao -
2021 Oral: Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing »
Cheng Fu · Hanxian Huang · Xinyun Chen · Yuandong Tian · Jishen Zhao -
2021 Poster: Detecting Rewards Deterioration in Episodic Reinforcement Learning »
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2021 Poster: Online Limited Memory Neural-Linear Bandits with Likelihood Matching »
Ofir Nabati · Tom Zahavy · Shie Mannor -
2021 Spotlight: Online Limited Memory Neural-Linear Bandits with Likelihood Matching »
Ofir Nabati · Tom Zahavy · Shie Mannor -
2021 Spotlight: Detecting Rewards Deterioration in Episodic Reinforcement Learning »
Ido Greenberg · Shie Mannor -
2021 Poster: Confidence-Budget Matching for Sequential Budgeted Learning »
Yonathan Efroni · Nadav Merlis · Aadirupa Saha · Shie Mannor -
2021 Poster: Understanding self-supervised learning dynamics without contrastive pairs »
Yuandong Tian · Xinlei Chen · Surya Ganguli -
2021 Spotlight: Confidence-Budget Matching for Sequential Budgeted Learning »
Yonathan Efroni · Nadav Merlis · Aadirupa Saha · Shie Mannor -
2021 Oral: Understanding self-supervised learning dynamics without contrastive pairs »
Yuandong Tian · Xinlei Chen · Surya Ganguli -
2021 Poster: Value Iteration in Continuous Actions, States and Time »
Michael Lutter · Shie Mannor · Jan Peters · Dieter Fox · Animesh Garg -
2021 Spotlight: Value Iteration in Continuous Actions, States and Time »
Michael Lutter · Shie Mannor · Jan Peters · Dieter Fox · Animesh Garg -
2021 Poster: Few-Shot Neural Architecture Search »
Yiyang Zhao · Linnan Wang · Yuandong Tian · Rodrigo Fonseca · Tian Guo -
2021 Poster: The Emergence of Individuality »
Jiechuan Jiang · Zongqing Lu -
2021 Poster: FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning »
Tianhao Zhang · yueheng li · Chen Wang · Guangming Xie · Zongqing Lu -
2021 Oral: Few-Shot Neural Architecture Search »
Yiyang Zhao · Linnan Wang · Yuandong Tian · Rodrigo Fonseca · Tian Guo -
2021 Oral: The Emergence of Individuality »
Jiechuan Jiang · Zongqing Lu -
2021 Spotlight: FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning »
Tianhao Zhang · yueheng li · Chen Wang · Guangming Xie · Zongqing Lu -
2021 Poster: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks »
Eli Meirom · Haggai Maron · Shie Mannor · Gal Chechik -
2021 Spotlight: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks »
Eli Meirom · Haggai Maron · Shie Mannor · Gal Chechik -
2020 Poster: Optimistic Policy Optimization with Bandit Feedback »
Lior Shani · Yonathan Efroni · Aviv Rosenberg · Shie Mannor -
2020 Poster: Topic Modeling via Full Dependence Mixtures »
Dan Fisher · Mark Kozdoba · Shie Mannor -
2020 Poster: Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension »
Yuandong Tian -
2019 Poster: Exploration Conscious Reinforcement Learning Revisited »
Lior Shani · Yonathan Efroni · Shie Mannor -
2019 Poster: Action Robust Reinforcement Learning and Applications in Continuous Control »
Chen Tessler · Chen Tessler · Yonathan Efroni · Shie Mannor -
2019 Poster: The Natural Language of Actions »
Guy Tennenholtz · Shie Mannor -
2019 Oral: Exploration Conscious Reinforcement Learning Revisited »
Lior Shani · Yonathan Efroni · Shie Mannor -
2019 Oral: The Natural Language of Actions »
Guy Tennenholtz · Shie Mannor -
2019 Poster: Nonlinear Distributional Gradient Temporal-Difference Learning »
chao qu · Shie Mannor · Huan Xu -
2019 Poster: ELF OpenGo: an analysis and open reimplementation of AlphaZero »
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2019 Oral: Action Robust Reinforcement Learning and Applications in Continuous Control »
Chen Tessler · Chen Tessler · Yonathan Efroni · Yonathan Efroni · Shie Mannor · Shie Mannor -
2019 Oral: Nonlinear Distributional Gradient Temporal-Difference Learning »
chao qu · Shie Mannor · Huan Xu -
2019 Oral: ELF OpenGo: an analysis and open reimplementation of AlphaZero »
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2018 Poster: Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima »
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2018 Poster: Beyond the One-Step Greedy Approach in Reinforcement Learning »
Yonathan Efroni · Gal Dalal · Bruno Scherrer · Shie Mannor -
2018 Oral: Beyond the One-Step Greedy Approach in Reinforcement Learning »
Yonathan Efroni · Gal Dalal · Bruno Scherrer · Shie Mannor -
2018 Oral: Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima »
Simon Du · Jason Lee · Yuandong Tian · Aarti Singh · Barnabás Póczos -
2017 Workshop: Lifelong Learning: A Reinforcement Learning Approach »
Sarath Chandar · Balaraman Ravindran · Daniel J. Mankowitz · Shie Mannor · Tom Zahavy -
2017 Poster: Consistent On-Line Off-Policy Evaluation »
Assaf Hallak · Shie Mannor -
2017 Poster: An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis »
Yuandong Tian -
2017 Talk: An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis »
Yuandong Tian -
2017 Talk: Consistent On-Line Off-Policy Evaluation »
Assaf Hallak · Shie Mannor -
2017 Poster: End-to-End Differentiable Adversarial Imitation Learning »
Nir Baram · Oron Anschel · Itai Caspi · Shie Mannor -
2017 Poster: Multi-objective Bandits: Optimizing the Generalized Gini Index »
Robert Busa-Fekete · Balazs Szorenyi · Paul Weng · Shie Mannor -
2017 Talk: End-to-End Differentiable Adversarial Imitation Learning »
Nir Baram · Oron Anschel · Itai Caspi · Shie Mannor -
2017 Talk: Multi-objective Bandits: Optimizing the Generalized Gini Index »
Robert Busa-Fekete · Balazs Szorenyi · Paul Weng · Shie Mannor