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A Survey on Imitation Learning Techniques for End-to-End Autonomous Vehicles
The state-of-the-art decision and planning approaches for autonomous vehicles have moved away from manually designed systems, instead focusing on the utilisation of large-scale datasets of expert demonstration via Imitation Learning (IL).
Luc Le Mero +3 more
semanticscholar +1 more source
The influence of facial signals on the automatic imitation of hand actions
Imitation and facial signals are fundamental social cues that guide interactions with others, but little is known regarding the relationship between these behaviours.
Emily E Butler +3 more
doaj +1 more source
An Algorithmic Perspective on Imitation Learning [PDF]
As robots and other intelligent agents move from simple environments and problems to more complex, unstructured settings, manually programming their behavior has become increasingly challenging and expensive.
Takayuki Osa +5 more
semanticscholar +1 more source
Imitation and recognition of facial emotions in autism: a computer vision approach
Background Imitation of facial expressions plays an important role in social functioning. However, little is known about the quality of facial imitation in individuals with autism and its relationship with defining difficulties in emotion recognition ...
Hanna Drimalla +4 more
doaj +1 more source
submitted to Phyisca D, no figures are ...
Suzuki, Junji, Kaneko, Kunihiko
openaire +2 more sources
Language Conditioned Imitation Learning Over Unstructured Data [PDF]
Natural language is perhaps the most flexible and intuitive way for humans to communicate tasks to a robot. Prior work in imitation learning typically requires each task be specified with a task id or goal image -- something that is often impractical in ...
Corey Lynch, P. Sermanet
semanticscholar +1 more source
Imitation trap and catch-up: a benchmark model based on horizontal innovation theory [PDF]
PurposeThe paper introduces the concept of the “imitation trap” to describe a state where economies remain reliant on technological imitation and fail to transition to growth driven by independent innovation.
Feng Wei, Yang Jiao
doaj +1 more source
Learning for a Robot: Deep Reinforcement Learning, Imitation Learning, Transfer Learning
Dexterous manipulation of the robot is an important part of realizing intelligence, but manipulators can only perform simple tasks such as sorting and packing in a structured environment.
Jiang Hua +3 more
semanticscholar +1 more source
Spatio-Temporal Patterns for a Generalized Innovation Diffusion Model [PDF]
We construct a model of innovation diffusion that incorporates a spatial component into a classical imitation-innovation dynamics first introduced by F. Bass. Relevant for situations where the imitation process explicitly depends on the spatial proximity
Gallay, Olivier +2 more
core +5 more sources
Imitation, Innovation and International Trade
A North-South country model with imitation, innovation and simplified tariff structure is developed in this paper. Peculiar to this paper is that effects of change in trade policy on imitation and innovation in steady-state is analyzed. Specifically, two
Sungik Park
doaj +1 more source

