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Expo Talk Panel
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Sun 6:30 |
Federated Reinforcement Learning for Financial Portfolio Optimization Using the IBM Federated Learning (IFL) Platform Mary Ellen Perry |
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Tutorial
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Mon 5:00 |
Causal Reinforcement Learning Elias Bareinboim |
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Affinity Workshop
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Mon 5:15 |
Using knowledge from multiple sources to accelerate reinforcement learning Anna Reali |
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Affinity Workshop
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Mon 7:55 |
Feedback Controller for 3D Dynamic Walking using Reinforcement Learning and Hybrid Zero Dynamics Guillermo Castillo Martinez |
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Tutorial
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Mon 8:00 |
Model-Based Methods in Reinforcement Learning Igor Mordatch · Jessica Hamrick |
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Affinity Workshop
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Mon 11:00 |
Invited Talk: Doina Precup on Building Knowledge for AI Agents with Reinforcement Learning Doina Precup |
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Poster
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Tue 7:00 |
Evaluating the Performance of Reinforcement Learning Algorithms Scott Jordan · Yash Chandak · Daniel Cohen · Mengxue Zhang · Philip Thomas |
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Poster
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Tue 7:00 |
Provably Efficient Exploration in Policy Optimization Qi Cai · Zhuoran Yang · Chi Jin · Zhaoran Wang |
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Poster
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Tue 7:00 |
Private Reinforcement Learning with PAC and Regret Guarantees Giuseppe Vietri · Borja de Balle Pigem · Akshay Krishnamurthy · Steven Wu |
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Poster
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Tue 7:00 |
Taylor Expansion Policy Optimization Yunhao Tang · Michal Valko · Remi Munos |
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Poster
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Tue 7:00 |
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising Xiaotian Hao · Zhaoqing Peng · Yi Ma · Guan Wang · Junqi Jin · Jianye Hao · Shan Chen · Rongquan Bai · Mingzhou Xie · Miao Xu · Zhenzhe Zheng · Chuan Yu · HAN LI · Jian Xu · Kun Gai |
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Poster
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Tue 7:00 |
What Can Learned Intrinsic Rewards Capture? Zeyu Zheng · Junhyuk Oh · Matteo Hessel · Zhongwen Xu · Manuel Kroiss · Hado van Hasselt · David Silver · Satinder Singh |