Cosmin Paduraru

According to our database¹, Cosmin Paduraru authored at least 24 papers between 2005 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Training Language Models to Self-Correct via Reinforcement Learning.

[BibT_eX]

[DOI]

Feryal M. P. Behbahani

Aleksandra Faust

CoRR, 2024

2023

Faster sorting algorithms discovered using deep reinforcement learning.

[BibT_eX]

[DOI]

Nat., 2023

Towards practical reinforcement learning for tokamak magnetic control.

[BibT_eX]

[DOI]

CoRR, 2023

Optimizing Memory Mapping Using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Pengming Wang

Mikita Sazanovich

Berkin Ilbeyi

Phitchaya Mangpo Phothilimthana

CoRR, 2023

Transformers Meet Directed Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Controlling Commercial Cooling Systems Using Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Optimizing Industrial HVAC Systems with Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Semi-analytical Industrial Cooling System Model for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Challenges of real-world reinforcement learning: definitions, benchmarks and analysis.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Active Offline Policy Selection.

[BibT_eX]

[DOI]

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

Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Benchmarks for Deep Off-Policy Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification.

[BibT_eX]

[DOI]

CoRR, 2020

Hyperparameter Selection for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

RL Unplugged: Benchmarks for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Sergio Gómez Colmenarejo

CoRR, 2020

An empirical investigation of the challenges of real-world reinforcement learning.

[BibT_eX]

[DOI]

CoRR, 2020

RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Sergio Gómez Colmenarejo

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

2018

Safe Exploration in Continuous Action Spaces.

[BibT_eX]

[DOI]

Gal Dalal

Krishnamurthy Dvijotham

CoRR, 2018

2012

An Empirical Analysis of Off-policy Learning in Discrete MDPs.

[BibT_eX]

[DOI]

Proceedings of the Tenth European Workshop on Reinforcement Learning, 2012

2011

A Framework for Computing Bounds for the Return of a Policy.

[BibT_eX]

[DOI]

Cosmin Paduraru

Doina Precup

Joelle Pineau

Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

2007

Grounding Abstractions in Predictive State Representations.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2007, 2007

2005

Off-policy Learning with Options and Recognizers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Cosmin Paduraru

Timeline

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Bibliography

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