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Ranking-Based Reward Extrapolation without Rankings


Jul 09, 2019
Daniel S. Brown, Wonjoon Goo, Scott Niekum


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A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms


Jul 06, 2019
Oliver Kroemer, Scott Niekum, George Konidaris


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Hypothesis-Driven Skill Discovery for Hierarchical Deep Reinforcement Learning


May 27, 2019
Caleb Chuck, Supawit Chockchowwat, Scott Niekum

* Submitted to NeurIPS 2019 

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Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations


May 14, 2019
Daniel S. Brown, Wonjoon Goo, Prabhat Nagarajan, Scott Niekum

* In proceedings of Thirty-sixth International Conference on Machine Learning (ICML 2019) 

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Uncertainty-Aware Data Aggregation for Deep Imitation Learning


May 07, 2019
Yuchen Cui, David Isele, Scott Niekum, Kikuo Fujimura

* Accepted to International Conference on Robotics and Automation 2019 

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Using Natural Language for Reward Shaping in Reinforcement Learning


Mar 05, 2019
Prasoon Goyal, Scott Niekum, Raymond J. Mooney


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Risk-Aware Active Inverse Reinforcement Learning


Jan 08, 2019
Daniel S. Brown, Yuchen Cui, Scott Niekum

* In proceedings of Conference on Robot Learning (CoRL) 2018 

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LAAIR: A Layered Architecture for Autonomous Interactive Robots


Nov 09, 2018
Yuqian Jiang, Nick Walker, Minkyu Kim, Nicolas Brissonneau, Daniel S. Brown, Justin W. Hart, Scott Niekum, Luis Sentis, Peter Stone

* Presented at LTA AAAI-FSS, 2018 

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Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics


Oct 08, 2018
Ajinkya Jain, Scott Niekum

* 2nd Conference on Robot Learning (CoRL 2018), Zurich, Switzerland 

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