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Found 4 papers, 2 papers with code
Transformers in Reinforcement Learning: A Survey
We present a broad overview of how transformers have been adapted for several applications, including robotics, medicine, language modeling, cloud computing, and combinatorial optimization.
Automatic Evaluation of Excavator Operators using Learned Reward Functions
Training novice users to operate an excavator for learning different skills requires the presence of expert teachers.
Goal-constrained Sparse Reinforcement Learning for End-to-End Driving
Deep reinforcement Learning for end-to-end driving is limited by the need of complex reward engineering.
Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning models
In this paper, we attempt to show the biased nature of the currently existing image captioning models and present a new image captioning dataset, Egoshots, consisting of 978 real life images with no captions.
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