Learning Task-Relevant Representations with Selective Contrast for Reinforcement Learning in a Real-World Application

no code implementations • ICML Workshop URL 2021 • Flemming Brieger, Daniel Alexander Braun, Sascha Lange

With the training of the reinforcement learning agent, we present to our knowledge a first approach of using contrastive learning of state-representations for control in a real-world environment, using only images from one static camera.

Contrastive Learning reinforcement-learning +2

Bounded Rational Decision-Making in Feedforward Neural Networks

no code implementations • 26 Feb 2016 • Felix Leibfried, Daniel Alexander Braun

Bounded rational decision-makers transform sensory input into motor output under limited computational resources.

Decision Making General Classification