Automating the Search for Artificial Life with Foundation Models.
CoRR, 2024
Adversarial Robustness of In-Context Learning in Transformers for Linear Regression.
CoRR, 2024
Language Agents as Optimizable Graphs.
CoRR, 2024
GPTSwarm: Language Agents as Optimizable Graphs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Discovering Temporally-Aware Reinforcement Learning Algorithms.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
The Languini Kitchen: Enabling Language Modelling Research at Different Scales of Compute.
CoRR, 2023
Brain-inspired learning in artificial neural networks: a review.
CoRR, 2023
Learning One Abstract Bit at a Time Through Self-invented Experiments Encoded as Neural Networks.
Proceedings of the Active Inference - 4th International Workshop, 2023
The Benefits of Model-Based Generalization in Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023
Goal-Conditioned Generators of Deep Policies.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Eliminating Meta Optimization Through Self-Referential Meta Learning.
CoRR, 2022
General-Purpose In-Context Learning by Meta-Learning Transformers.
CoRR, 2022
Exploring through Random Curiosity with General Value Functions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Introducing Symmetries to Black Box Meta Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Meta Learning Backpropagation And Improving It.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Parameter-Based Value Functions.
Proceedings of the 9th International Conference on Learning Representations, 2021
Improving Generalization in Meta Reinforcement Learning using Learned Objectives.
Proceedings of the 8th International Conference on Learning Representations, 2020
Gaussian Mean Field Regularizes by Limiting Learned Information.
Entropy, 2019
Modular Networks: Learning to Decompose Neural Computation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Transfer Learning for Speech Recognition on a Budget.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017
Framework for Exploring and Understanding Multivariate Correlations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017