Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments

Author:

Thumm Jakob1,Althoff Matthias1

Affiliation:

1. Technical Univer-sity of Munich,Department of Informatics,Garching,Germany,85748

Publisher

IEEE

Reference32 articles.

1. SaRA: A Tool for Safe Human-Robot Coexistence and Collaboration through Reachability Analysis

2. Safety control of robots under Computed Torque control using reachable sets

3. Hindsight ex-perience replay;andrychowicz;Proc of the 31 st Int Conf on Neural Information Processing Systems (Ne u rIPS),0

4. Exploration via hindsight goal generation;ren;Proc of the 33rd Int Conf on Neural Information Processing Systems (Ne u rIPS),0

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