| Learning Plan-Satisficing Motion Policies from Demonstrations |
Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah |
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| Discovering Symmetries |
Brennan Cottrell, Justice Roberts and Juan Rojas |
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| Risk-Aware Reinforcement Learning through Optimal Transport Theory |
Ali Baheri |
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| Machine Teaching of Collaborative Policies for Human Inverse Reinforcement Learning |
Nyomi Morris, Michelle Zhao, Reid Simmons, Henny Admoni |
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| Safe Nonlinear Model Predictive Control using a Learned Approximate Control-Invariant Set |
Asia La Rocca, Gianni Lunardi, Matteo Saveriano and Andrea Del Prete |
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| Increasing Critic Robustness with Degenerate Distribution Mixtures in Discrete Action Reinforcement Learning |
Samuel Blad, Martin Längkvist and Amy Loutfi |
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| Diversity for Contingency: Learning Diverse Behaviors for Efficient Adaptation and Transfer |
Finn Rietz and Johannes A. Stork |
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| CACTO-SL: Using Sobolev Learning to improve Continuous Actor-Critic with Trajectory Optimization |
Elisa Alboni, Gianluigi Grandesso, Gastone P. Rosati Papini, Justin Carpentier, and Andrea Del Prete |
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| Learning Interpretable, High-Performing Policies for Continuous Control |
Rohan Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew Gombolay |
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| Adaptive group machine teaching for human group inverse reinforcement learning |
Suresh Kumaar Jayaraman, Aaron Steinfeld, Henny Admoni, and Reid Simmons |
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| Human-Robot Collaboration for Assembling IKEA Furniture through Reinforcement Learning-Based Planning |
Giulio Giacomuzzo, Diego Romeres |
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