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Papers

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Modular Robot Design Synthesis with Deep Reinforcement Learning
Julian Whitman, Raunaq Bhirangi, Matthew Travers et al.
2020 AAAI
2020 AAAI
AtLoc: Attention Guided Camera Localization
Bing Wang, Changhao Chen, Chris Xiaoxuan Lu et al.
2020 AAAI
Task and Motion Planning Is PSPACE-Complete
William Vega-Brown, Nicholas Roy
2020 AAAI
On the Problem of Covering a 3-D Terrain
Eduard Eiben, Isuru Godage, Iyad Kanj et al.
2020 AAAI
2020 AAAI
That and There: Judging the Intent of Pointing Actions with Robotic Arms
Malihe Alikhani, Baber Khalid, Rahul Shome et al.
2020 AAAI
Gradient-Based Optimization for Bayesian Preference Elicitation
Ivan Vendrov, Tyler Lu, Qingqing Huang et al.
2020 AAAI
2020 AAAI
Off-Policy Evaluation in Partially Observable Environments
Guy Tennenholtz, Uri Shalit, Shie Mannor
2020 AAAI
BOWL: Bayesian Optimization for Weight Learning in Probabilistic Soft Logic
Sriram Srinivasan, Golnoosh Farnadi, Lise Getoor
2020 AAAI
Few-Shot Bayesian Imitation Learning with Logical Program Policies
Tom Silver, Kelsey R. Allen, Alex K. Lew et al.
2020 AAAI
Experimental Design for Optimization of Orthogonal Projection Pursuit Models
Mojmir Mutny, Johannes Kirschner, Andreas Krause
2020 AAAI
Parallel AND/OR Search for Marginal MAP
Radu Marinescu, Akihiro Kishimoto, Adi Botea
2020 AAAI
Temporal Logics Over Finite Traces with Uncertainty
Fabrizio M Maggi, Marco Montali, Rafael Peñaloza
2020 AAAI