Technology
Efficient characterization of electrically evoked responses for neural interfaces
Nishal Shah, Sasidhar Madugula, Pawel Hottowy, Alexander Sher, Alan Litke, Liam Paninski, E.J. Chichilnisky
Neural Information Processing Systems http://nips.cc/
Scalable Coordinated Exploration in Concurrent Reinforcement Learning
Maria Dimakopoulou, Ian Osband, Benjamin Van Roy
Neural Information Processing Systems http://nips.cc/
Towards
The Goldilocks phase is reminiscent of "intelligence from starvation" in Darwinian evolution, where resource limitations drivediscoveryofmore efficient solutions.
Unsupervised Learning of Object Landmarks through Conditional Image Generation
Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi
Neural Information Processing Systems http://nips.cc/
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher
Neural Information Processing Systems http://nips.cc/
64c26b2a2dcf068c49894bd07e0e6389-AuthorFeedback.pdf
Assumptions The keyrequirements for applying SR are (1) that goal completion can beexpressed via adistance16 metric and (2) that the distance metric and control over episode start state/goal are available during learning. In17 simulated environments, this availability should exist. We will clarify these requirements and how they are met in18 ourexperiments.