Discovering Temporally-Aware Reinforcement Learning Algorithms

Discovering Temporally-Aware Reinforcement Learning Algorithms

8 February 2024

Matthew Jackson

Chris Xiaoxuan Lu

Shimon Whiteson

Jakob N. Foerster

Papers citing "Discovering Temporally-Aware Reinforcement Learning Algorithms"

17 / 17 papers shown

Title
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps Benjamin Ellis Matthew Jackson Andrei Lupu Alexander David Goldie Mattie Fellows Shimon Whiteson Jakob Foerster 85 0 0 22 Dec 2024
Kinetix: Investigating the Training of General Agents through Open-Ended Physics-Based Control Tasks Michael T. Matthews Michael Beukman Chris Xiaoxuan Lu Jakob Foerster OffRL AI4CE 36 2 0 30 Oct 2024
JaxLife: An Open-Ended Agentic Simulator Chris Xiaoxuan Lu Michael Beukman Michael T. Matthews Jakob Foerster LM&Ro 43 3 0 01 Sep 2024
Black box meta-learning intrinsic rewards for sparse-reward environments Octavio Pappalardo Rodrigo Ramele Juan Miguel Santos OffRL 38 0 0 31 Jul 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 42 3 0 09 Jul 2024
Memory-Enhanced Neural Solvers for Efficient Adaptation in Combinatorial Optimization Félix Chalumeau Refiloe Shabe Noah de Nicola Arnu Pretorius Thomas D. Barrett Nathan Grinsztajn 71 2 0 24 Jun 2024
Behaviour Distillation Andrei Lupu Chris Xiaoxuan Lu Jarek Liesen R. T. Lange Jakob Foerster DD 39 4 0 21 Jun 2024
Discovering Minimal Reinforcement Learning Environments Jarek Liesen Chris Xiaoxuan Lu Andrei Lupu Jakob N. Foerster Henning Sprekeler R. T. Lange OffRL 48 3 0 18 Jun 2024
EvIL: Evolution Strategies for Generalisable Imitation Learning Silvia Sapora Gokul Swamy Chris Xiaoxuan Lu Yee Whye Teh Jakob Nicolaus Foerster 36 6 0 15 Jun 2024
Discovering Preference Optimization Algorithms with and for Large Language Models Chris Xiaoxuan Lu Samuel Holt Claudio Fanconi Alex J. Chan Jakob Foerster M. Schaar R. T. Lange OffRL 37 15 0 12 Jun 2024
Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks Tarek Kunze Paul Templier Dennis G. Wilson 35 0 0 20 Mar 2024
Learning mirror maps in policy mirror descent Carlo Alfano Sebastian Towers Silvia Sapora Chris Xiaoxuan Lu Patrick Rebeschini 30 0 0 07 Feb 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms Pengyi Li Jianye Hao Hongyao Tang Xian Fu Yan Zheng Ke Tang 39 9 0 22 Jan 2024
Structured State Space Models for In-Context Reinforcement Learning Chris Xiaoxuan Lu Yannick Schroecker Albert Gu Emilio Parisotto Jakob N. Foerster Satinder Singh Feryal M. P. Behbahani AI4TS 97 82 0 07 Mar 2023
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 96 180 0 16 May 2022
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 51 56 0 29 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017