Myriad: a real-world testbed to bridge trajectory optimization and deep
learning

Myriad: a real-world testbed to bridge trajectory optimization and deep learning

22 February 2022

Nikolaus H. R. Howe

Simon Dufort-Labbé

Nitarshan Rajkumar

Pierre-Luc Bacon

Papers citing "Myriad: a real-world testbed to bridge trajectory optimization and deep learning"

5 / 5 papers shown

Title
CALE: Continuous Arcade Learning Environment Jesse Farebrother Pablo Samuel Castro ELM 31 0 0 31 Oct 2024
Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging Amartya Banerjee Harlin Lee Nir Sharon Caroline Moosmüller 42 1 0 30 May 2024
A Pontryagin Perspective on Reinforcement Learning Onno Eberhard Claire Vernade Michael Muehlebach 43 2 0 28 May 2024
Do Transformer World Models Give Better Policy Gradients? Michel Ma Tianwei Ni Clement Gehring P. DÓro Pierre-Luc Bacon 34 4 0 07 Feb 2024
Efficient Exploration in Continuous-time Model-based Reinforcement Learning Lenart Treven Jonas Hübotter Bhavya Sukhija Florian Dorfler Andreas Krause 19 5 0 30 Oct 2023