2 citations · 2 across the 1 of their papers we have counts for
3 papers
Automatic Evaluation of Excavator Operators using Learned Reward Functions
Pranav Agarwal, Marek Teichmann, Sheldon Andrews +1
Training novice users to operate an excavator for learning different skills requires the presence of expert teachers. Considering the complexity of the problem, it is comparatively…
Goal-constrained Sparse Reinforcement Learning for End-to-End Driving
Pranav Agarwal, Pierre de Beaucorps, Raoul de Charette
Deep reinforcement Learning for end-to-end driving is limited by the need of complex reward engineering. Sparse rewards can circumvent this challenge but suffers from long training…
Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models
Pranav Agarwal, Alejandro Betancourt, Vana Panagiotou +1
Image captioning models have been able to generate grammatically correct and human understandable sentences. However most of the captions convey limited information as the model us…