Automating the Search for Artificial Life with Foundation Models

Authors: Kumar, Akarsh, Lu, Chris, Kirsch, Louis, Tang, Yujin, Stanley, Kenneth O., Isola, Phillip, Ha, David

Subject Terms: Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing

Access URL: http://arxiv.org/abs/2412.17799

Adversarial Robustness of In-Context Learning in Transformers for Linear Regression

Authors: Anwar, Usman, Von Oswald, Johannes, Kirsch, Louis, Krueger, David, Frei, Spencer

Subject Terms: Computer Science - Machine Learning, Computer Science - Cryptography and Security

Access URL: http://arxiv.org/abs/2411.05189

Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning

Authors: Ramesh, Aditya A., Young, Kenny, Kirsch, Louis, Schmidhuber, Jürgen

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2405.03878

Language Agents as Optimizable Graphs

Authors: Zhuge, Mingchen, Wang, Wenyi, Kirsch, Louis, Faccio, Francesco, Khizbullin, Dmitrii, Schmidhuber, Jürgen

Subject Terms: Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Machine Learning, Computer Science - Multiagent Systems

Access URL: http://arxiv.org/abs/2402.16823

Discovering Temporally-Aware Reinforcement Learning Algorithms

Authors: Jackson, Matthew Thomas, Lu, Chris, Kirsch, Louis, Lange, Robert Tjarko, Whiteson, Shimon, Foerster, Jakob Nicolaus

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2402.05828

The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute

Authors: Stanić, Aleksandar, Ashley, Dylan, Serikov, Oleg, Kirsch, Louis, Faccio, Francesco, Schmidhuber, Jürgen, Hofmann, Thomas, Schlag, Imanol

Subject Terms: Computer Science - Machine Learning, Computer Science - Computation and Language

Access URL: http://arxiv.org/abs/2309.11197

Mindstorms in Natural Language-Based Societies of Mind

Authors: Zhuge, Mingchen, Liu, Haozhe, Faccio, Francesco, Ashley, Dylan R., Csordás, Róbert, Gopalakrishnan, Anand, Hamdi, Abdullah, Hammoud, Hasan Abed Al Kader, Herrmann, Vincent, Irie, Kazuki, Kirsch, Louis, Li, Bing, Li, Guohao, Liu, Shuming, Mai, Jinjie, Piękos, Piotr, Ramesh, Aditya, Schlag, Imanol, Shi, Weimin, Stanić, Aleksandar, Wang, Wenyi, Wang, Yuhui, Xu, Mengmeng, Fan, Deng-Ping, Ghanem, Bernard, Schmidhuber, Jürgen

Subject Terms: Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Computer Science - Multiagent Systems, 68T07, I.2.6, I.2.11

Access URL: http://arxiv.org/abs/2305.17066

Brain-inspired learning in artificial neural networks: a review

Authors: Schmidgall, Samuel, Achterberg, Jascha, Miconi, Thomas, Kirsch, Louis, Ziaei, Rojin, Hajiseyedrazi, S. Pardis, Eshraghian, Jason

Subject Terms: Computer Science - Neural and Evolutionary Computing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Quantitative Biology - Neurons and Cognition

Access URL: http://arxiv.org/abs/2305.11252

Eliminating Meta Optimization Through Self-Referential Meta Learning

Authors: Kirsch, Louis, Schmidhuber, Jürgen

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2212.14392

Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks

Authors: Herrmann, Vincent, Kirsch, Louis, Schmidhuber, Jürgen

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2212.14374

General-Purpose In-Context Learning by Meta-Learning Transformers

Authors: Kirsch, Louis, Harrison, James, Sohl-Dickstein, Jascha, Metz, Luke

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2212.04458

Exploring through Random Curiosity with General Value Functions

Authors: Ramesh, Aditya, Kirsch, Louis, van Steenkiste, Sjoerd, Schmidhuber, Jürgen

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2211.10282

The Benefits of Model-Based Generalization in Reinforcement Learning

Authors: Young, Kenny, Ramesh, Aditya, Kirsch, Louis, Schmidhuber, Jürgen

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2211.02222

Goal-Conditioned Generators of Deep Policies

Authors: Faccio, Francesco, Herrmann, Vincent, Ramesh, Aditya, Kirsch, Louis, Schmidhuber, Jürgen

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2207.01570

Introducing Symmetries to Black Box Meta Reinforcement Learning

Authors: Kirsch, Louis, Flennerhag, Sebastian, van Hasselt, Hado, Friesen, Abram, Oh, Junhyuk, Chen, Yutian

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2109.10781

Meta Learning Backpropagation And Improving It

Authors: Kirsch, Louis, Schmidhuber, Jürgen

Source: 35th Conference on Neural Information Processing Systems (NeurIPS 2021)

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2012.14905

Parameter-Based Value Functions

Authors: Faccio, Francesco, Kirsch, Louis, Schmidhuber, Jürgen

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2006.09226

Improving Generalization in Meta Reinforcement Learning using Learned Objectives

Authors: Kirsch, Louis, van Steenkiste, Sjoerd, Schmidhuber, Jürgen

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Neural and Evolutionary Computing, Statistics - Machine Learning, I.2.6

Access URL: http://arxiv.org/abs/1910.04098

Gaussian Mean Field Regularizes by Limiting Learned Information

Authors: Kunze, Julius, Kirsch, Louis, Ritter, Hippolyt, Barber, David

Subject Terms: Computer Science - Machine Learning, Computer Science - Information Theory, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1902.04340

Modular Networks: Learning to Decompose Neural Computation

Authors: Kirsch, Louis, Kunze, Julius, Barber, David

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/1811.05249