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25 Results
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Poster
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Wed 17:00 |
Learning Task Specifications from Demonstrations Marcell Vazquez-Chanlatte ⋅ Susmit Jha ⋅ Ashish Tiwari ⋅ Mark Ho ⋅ Sanjit Seshia |
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Poster
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Wed 17:00 |
A Bayesian Approach to Generative Adversarial Imitation Learning Wonseok Jeon ⋅ Seokin Seo ⋅ Kee-Eung Kim |
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Poster
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Wed 17:00 |
Context-dependent upper-confidence bounds for directed exploration Raksha Kumaraswamy ⋅ Matthew Schlegel ⋅ Adam White ⋅ Martha White |
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Poster
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Wed 10:45 |
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing Zehong Hu ⋅ Yitao Liang ⋅ Jie Zhang ⋅ Zhao Li ⋅ Yang Liu |
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Poster
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Wed 10:45 |
Exploration in Structured Reinforcement Learning Jungseul Ok ⋅ Alexandre Proutiere ⋅ Damianos Tranos |
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Poster
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Wed 17:00 |
From Stochastic Planning to Marginal MAP Hao(Jackson) Cui ⋅ Radu Marinescu ⋅ Roni Khardon |
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Poster
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Wed 17:00 |
Occam's razor is insufficient to infer the preferences of irrational agents Stuart Armstrong ⋅ Sören Mindermann |
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Poster
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Wed 17:00 |
Constrained Cross-Entropy Method for Safe Reinforcement Learning Min Wen ⋅ Ufuk Topcu |
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Poster
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Wed 17:00 |
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments Mahdi Imani ⋅ Seyede Fatemeh Ghoreishi ⋅ Ulisses M. Braga-Neto |
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Poster
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Wed 17:00 |
A Lyapunov-based Approach to Safe Reinforcement Learning Yinlam Chow ⋅ Ofir Nachum ⋅ Edgar Duenez-Guzman ⋅ Mohammad Ghavamzadeh |
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Poster
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Thu 17:00 |
Non-delusional Q-learning and value-iteration Tyler Lu ⋅ Dale Schuurmans ⋅ Craig Boutilier |
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Poster
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Wed 17:00 |
Maximum Causal Tsallis Entropy Imitation Learning Kyungjae Lee ⋅ Sungjoon Choi ⋅ Songhwai Oh |