Aditya A. Ramesh

PhD student, Dalle Molle Institute for Artificial Intelligence (IDSIA)

Joined

May 2021

Names

Aditya A. Ramesh (Preferred)

Aditya Ramesh

Aditya Ramesh Atresh

Emails

****@idsia.ch (Confirmed)

****@usi.ch (Confirmed)

****@ualberta.ca (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

PhD student

Dalle Molle Institute for Artificial Intelligence (IDSIA) (idsia.ch)

2020 – 2026

Intern

Amazon (amazon.co.uk)

2025 – 2025

Visiting PhD student

University of Alberta (ualberta.ca)

2024 – 2024

MS student

Università della Svizzera Italiana (usi.ch)

2018 – 2020

Advisors, Relations & Conflicts

PhD Advisor

Juergen Schmidhuber

2020 – 2026

Expertise

Reinforcement learning

Present

Deep learning

Present

Publications

The World Is Bigger: A Computationally-Embedded Perspective on the Big World Hypothesis
Alex Lewandowski, Aditya A. Ramesh, Edan Meyer, Dale Schuurmans, Marlos C. Machado
- RLBrew: Ingredients for Developing Generalist Agents workshop (RLC 2025)
- Readers: Everyone
Improving Reward-Based Hindsight Credit Assignment
Aditya A. Ramesh, Jiamin He, Jürgen Schmidhuber, Martha White
- EWRL 2025 Poster
- Readers: Everyone
The World Is Bigger! A Computationally-Embedded Perspective on the Big World Hypothesis
Alex Lewandowski, Aditya A. Ramesh, Edan Meyer, Dale Schuurmans, Marlos C. Machado
- NeurIPS 2025 spotlight
- Readers: Everyone
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning
Aditya Ramesh, Kenny John Young, Louis Kirsch, Jürgen Schmidhuber
- ICML 2024 Poster
- Readers: Everyone
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 Piękos, Aditya Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanić et al. (6 additional authors not shown)
- R0-FoMo Oral
- Readers: Everyone
Efficient Value Propagation with the Compositional Optimality Equation
Piotr Piękos, Aditya Ramesh, Francesco Faccio, Jürgen Schmidhuber
- GCRL Workshop
- Readers: Everyone
Efficient Value Propagation with the Compositional Optimality Equation
Piotr Piękos, Aditya Ramesh, Francesco Faccio, Jürgen Schmidhuber
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Recurrent Neural-Linear Posterior Sampling for Nonstationary Contextual Bandits
Aditya Ramesh, Paulo Rauber, Michelangelo Conserva, Jürgen Schmidhuber
- 27 Apr 2023 (modified: 27 Apr 2023)
- OpenReview Archive Direct Upload
- Readers: Everyone
The Benefits of Model-Based Generalization in Reinforcement Learning
Kenny John Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber
- ICML 2023 Poster
- Readers: Everyone
The Benefits of Model-Based Generalization in Reinforcement Learning
Kenny John Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber
- 08 Oct 2022 (modified: 08 Feb 2026)
- Deep RL Workshop 2022
- Readers: Everyone

View all 16 publications

Co-Authors

View all 36 co-authors