211 citations · 432 across the 31 of their papers we have counts for
4 papers · 1 filter
Benchmarking Simulated Robotic Manipulation through a Real World Dataset
Jack Collins, Jessie McVicar, David Wedlock +3
We present a benchmark to facilitate simulated manipulation; an attempt to overcome the obstacles of physical benchmarks through the distribution of a real world, ground truth data…
Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks
Vibhavari Dasagi, Robert Lee, Jake Bruce +1
Deep reinforcement learning has been shown to solve challenging tasks where large amounts of training experience is available, usually obtained online while learning the task. Robo…
A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing
Timo Korthals, Malte Schilling, Jürgen Leitner
This contribution comprises the interplay between a multi-modal variational autoencoder and an environment to a perceived environment, on which an agent can act. Furthermore, we co…
Ctrl-Z: Recovering from Instability in Reinforcement Learning
Vibhavari Dasagi, Jake Bruce, Thierry Peynot +1
When learning behavior, training data is often generated by the learner itself; this can result in unstable training dynamics, and this problem has particularly important applicati…