activity
20182020
most citedDeep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving Cars

21 citations · 23 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG20201 cited

Curriculum Learning with Hindsight Experience Replay for Sequential Object Manipulation Tasks

Binyamin Manela, Armin Biess

Learning complex tasks from scratch is challenging and often impossible for humans as well as for artificial agents. A curriculum can be used instead, which decomposes a complex ta…

cs.LG202021 cited

Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving Cars

Ran Emuna, Avinoam Borowsky, Armin Biess

The technological and scientific challenges involved in the development of autonomous vehicles (AVs) are currently of primary interest for many automobile companies and research la…

cs.RO20201 cited

Metric-Based Imitation Learning Between Two Dissimilar Anthropomorphic Robotic Arms

Marcus Ebner von Eschenbach, Binyamin Manela, Jan Peters +1

The development of autonomous robotic systems that can learn from human demonstrations to imitate a desired behavior - rather than being manually programmed - has huge technologica…

cs.LG2019

Bias-Reduced Hindsight Experience Replay with Virtual Goal Prioritization

Binyamin Manela, Armin Biess

Hindsight Experience Replay (HER) is a multi-goal reinforcement learning algorithm for sparse reward functions. The algorithm treats every failure as a success for an alternative (…

cs.RO2018

Learning Pose Estimation for High-Precision Robotic Assembly Using Simulated Depth Images

Yuval Litvak, Armin Biess, Aharon Bar-Hillel

Most of industrial robotic assembly tasks today require fixed initial conditions for successful assembly. These constraints induce high production costs and low adaptability to new…