Discovered Policy Optimisation

11 October 2022

Papers citing "Discovered Policy Optimisation"

9 / 9 papers shown

Title
Scalable Meta-Learning via Mixed-Mode Differentiation Iurii Kemaev Dan A Calian Luisa M Zintgraf Gregory Farquhar H. V. Hasselt 54 0 0 01 May 2025
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 40 3 0 09 Jul 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 57 14 0 05 Jul 2024
Speeding up Policy Simulation in Supply Chain RL Vivek Farias Joren Gijsbrechts Aryan I. Khojandi Tianyi Peng A. Zheng 34 0 0 04 Jun 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 34 2 0 18 May 2024
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX Alexander Nikulin Vladislav Kurenkov Ilya Zisman Artem Agarkov Viacheslav Sinii Sergey Kolesnikov 24 23 0 19 Dec 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 30 121 0 19 Jan 2023
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 40 56 0 29 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017