Jul 5, 2017 · We present a novel technique called Hindsight Experience Replay which allows sample-efficient learning from rewards which are sparse and binary ...

We present a novel technique called Hindsight Experience Replay which allows sample-efficient learning from rewards which are sparse and binary and therefore ...

We present a novel technique called Hindsight Experience Replay which allows sample-efficient learning from rewards which are sparse and binary and therefore ...

Jan 31, 2019 · This is a very elegant and simple method to tackle a difficult and important problem in many RL applications.

Aug 18, 2020 · A reinforcement learning system where an agent, with different sensors, tries to learn how to walk by applying different forces to its joints.

Oct 6, 2020 · I managed to implement HER with mountain-car by taking the goal space to be the carts location. This essentially requires no new code except modifying the ...

Jul 17, 2018 · My question is about Hindsight experience replay which has been proposed for problem with sparse rewards. While the idea of this paper seems intuitive, I don't ...

This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Duration: 19:29
Posted: Feb 16, 2022

We present a novel technique called Hindsight Experience Replay which allows sample-efficient learning from rewards which are sparse and binary and therefore ...