Aditya A. Ramesh

According to our database, Aditya A. Ramesh authored at least 9 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Learning to Forget: Continual Learning with Adaptive Weight Decay.

Aditya A. Ramesh, Alex Lewandowski, Jürgen Schmidhuber

CoRR, April, 2026

2025

Mindstorms in Natural Language-Based Societies of Mind.

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

Comput. Vis. Media, 2025

2024

Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning.

Aditya A. Ramesh, Kenny John Young, Louis Kirsch, Jürgen Schmidhuber

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

The Benefits of Model-Based Generalization in Reinforcement Learning.

Kenny John Young, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber

Proceedings of the International Conference on Machine Learning, 2023

Goal-Conditioned Generators of Deep Policies.

Francesco Faccio, Vincent Herrmann, Aditya A. Ramesh, Louis Kirsch, Jürgen Schmidhuber

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits.

Aditya A. Ramesh, Paulo E. Rauber, Michelangelo Conserva, Jürgen Schmidhuber

Neural Comput., 2022

General Policy Evaluation and Improvement by Learning to Identify Few But Crucial States.

Francesco Faccio, Aditya A. Ramesh, Vincent Herrmann, Jean Harb, Jürgen Schmidhuber

CoRR, 2022

Exploring through Random Curiosity with General Value Functions.

Aditya A. Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

Recurrent Neural-Linear Posterior Sampling for Non-Stationary Contextual Bandits.

Aditya A. Ramesh, Paulo E. Rauber, Jürgen Schmidhuber

CoRR, 2020