Martin Klissarov

According to our database, Martin Klissarov authored at least 15 papers between 2017 and 2026.

Collaborative distances:

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

2026

Learning to Learn from Language Feedback with Social Meta-Learning.

Jonathan Cook, Diego Antognini, Martin Klissarov, Claudiu Musat, Edward Grefenstette

CoRR, February, 2026

Improving Interactive In-Context Learning from Natural Language Feedback.

Martin Klissarov, Jonathan Cook, Diego Antognini, Hao Sun, Jingling Li, Natasha Jaques, Claudiu Musat, Edward Grefenstette

CoRR, February, 2026

Position: Introspective Experience from Conversational Environments as a Path to Better Learning.

Claudiu Cristian Musat, Jackson Tolins, Diego Antognini, Jingling Li, Martin Klissarov, Tom Duerig

CoRR, February, 2026

2025

Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning.

Martin Klissarov, Akhil Bagaria, Ziyan Luo, George Dimitri Konidaris, Doina Precup, Marlos C. Machado

CoRR, June, 2025

On the Modeling Capabilities of Large Language Models for Sequential Decision Making.

Martin Klissarov, R. Devon Hjelm, Alexander T. Toshev, Bogdan Mazoure

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MaestroMotif: Skill Design from Artificial Intelligence Feedback.

Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Code as Reward: Empowering Reinforcement Learning with VLMs.

David Venuto, Mohammad Sami Nur Islam, Martin Klissarov, Doina Precup, Sherry Yang, Ankit Anand

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

Motif: Intrinsic Motivation from Artificial Intelligence Feedback.

Martin Klissarov, Pierluca D'Oro, Shagun Sodhani, Roberta Raileanu, Pierre-Luc Bacon, Pascal Vincent, Amy Zhang, Mikael Henaff

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Deep Laplacian-based Options for Temporally-Extended Exploration.

Martin Klissarov, Marlos C. Machado

Proceedings of the International Conference on Machine Learning, 2023

2022

Adaptive Interest for Emphatic Reinforcement Learning.

Martin Klissarov, Rasool Fakoor, Jonas W. Mueller, Kavosh Asadi, Taesup Kim, Alexander J. Smola

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

2021

Flexible Option Learning.

Martin Klissarov, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Reward Propagation Using Graph Convolutional Networks.

Martin Klissarov, Doina Precup

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Options of Interest: Temporal Abstraction with Interest Functions.

Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

When Waiting Is Not an Option: Learning Options With a Deliberation Cost.

Jean Harb, Pierre-Luc Bacon, Martin Klissarov, Doina Precup

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Learnings Options End-to-End for Continuous Action Tasks.

Martin Klissarov, Pierre-Luc Bacon, Jean Harb, Doina Precup

CoRR, 2017