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Louis Kirsch

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

8

Venues

3

Active years

2020–2024

Best venue rank

A*

Where they publish

Papers

8 indexed papers, newest first.

YearVenueTitleAuthors
2024ICLRDiscovering Temporally-Aware Reinforcement Learning Algorithms.Matthew Thomas Jackson, Chris Lu, Louis Kirsch, Robert Tjarko Lange, Shimon Whiteson, Jakob Nicolaus Foerster
2024ICMLSequence Compression Speeds Up Credit Assignment in Reinforcement Learning.Aditya A. Ramesh, Kenny John Young, Louis Kirsch, Jrgen Schmidhuber
2024ICMLGPTSwarm: Language Agents as Optimizable Graphs.Mingchen Zhuge, Wenyi Wang, Louis Kirsch, Francesco Faccio, Dmitrii Khizbullin, Jrgen Schmidhuber
2023AAAIGoal-Conditioned Generators of Deep Policies.Francesco Faccio, Vincent Herrmann, Aditya A. Ramesh, Louis Kirsch, Jrgen Schmidhuber
2023ICMLThe Benefits of Model-Based Generalization in Reinforcement Learning.Kenny John Young, Aditya A. Ramesh, Louis Kirsch, Jrgen Schmidhuber
2022AAAIIntroducing Symmetries to Black Box Meta Reinforcement Learning.Louis Kirsch, Sebastian Flennerhag, Hado van Hasselt, Abram L. Friesen, Junhyuk Oh, Yutian Chen
2021ICLRParameter-Based Value Functions.Francesco Faccio, Louis Kirsch, Jrgen Schmidhuber
2020ICLRImproving Generalization in Meta Reinforcement Learning using Learned Objectives.Louis Kirsch, Sjoerd van Steenkiste, Jrgen Schmidhuber