Search Results for author: Sebastian Dittert

Found 5 papers, 4 papers with code

BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO

2 code implementations25 Jun 2024 Sebastian Dittert, Vincent Moens, Gianni de Fabritiis

The integration of TorchRL with the LEGO hubs, via Bluetooth bidirectional communication, enables state-of-the-art reinforcement learning training on GPUs for a wide variety of LEGO builds.

reinforcement-learning Reinforcement Learning

TorchRL: A data-driven decision-making library for PyTorch

2 code implementations1 Jun 2023 Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni de Fabritiis, Vincent Moens

PyTorch has ascended as a premier machine learning framework, yet it lacks a native and comprehensive library for decision and control tasks suitable for large development teams dealing with complex real-world data and environments.

Computational Efficiency Decision Making +1

Efficient Reinforcement Learning Experimentation in PyTorch

no code implementations29 Sep 2021 Albert Bou, Sebastian Dittert, Gianni de Fabritiis

Abstract: Deep reinforcement learning (RL) has proved successful at solving challenging environments but often requires long training times and very many samples.

reinforcement-learning Reinforcement Learning +1

Integrating Distributed Architectures in Highly Modular RL Libraries

1 code implementation6 Jul 2020 Albert Bou, Sebastian Dittert, Gianni de Fabritiis

In this work, we explore design choices to allow agent composability both at a local and distributed level of execution.

reinforcement-learning Reinforcement Learning (RL)

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