Anna Harutyunyan

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 33

Top Topics

Learning Agents

Extended Abstract

Top Venues

Publications

David Abel, Mark K. Ho, Anna Harutyunyan
Three Dogmas of Reinforcement Learning. CoRR (2024)
Charline Le Lan, Stephen Tu, Mark Rowland, Anna Harutyunyan, Rishabh Agarwal, Marc G. Bellemare, Will Dabney
Bootstrapped Representations in Reinforcement Learning. CoRR (2023)
Charline Le Lan, Stephen Tu, Mark Rowland, Anna Harutyunyan, Rishabh Agarwal, Marc G. Bellemare, Will Dabney
Bootstrapped Representations in Reinforcement Learning. ICML (2023)
Yunhao Tang, Tadashi Kozuno, Mark Rowland, Anna Harutyunyan, Rémi Munos, Bernardo Ávila Pires, Michal Valko
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm. ICML (2023)
Mark Rowland, Rémi Munos, Mohammad Gheshlaghi Azar, Yunhao Tang, Georg Ostrovski, Anna Harutyunyan, Karl Tuyls, Marc G. Bellemare, Will Dabney
An Analysis of Quantile Temporal-Difference Learning. CoRR (2023)
Yunhao Tang, Tadashi Kozuno, Mark Rowland, Anna Harutyunyan, Rémi Munos, Bernardo Ávila Pires, Michal Valko
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm. CoRR (2023)
David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh
On the Expressivity of Markov Reward (Extended Abstract). IJCAI (2022)
Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling
Policy invariant explicit shaping: an efficient alternative to reward shaping. Neural Comput. Appl. 34 (3) (2022)
Thomas Mesnard, Theophane Weber, Fabio Viola, Shantanu Thakoor, Alaa Saade, Anna Harutyunyan, Will Dabney, Thomas S. Stepleton, Nicolas Heess, Arthur Guez, Eric Moulines, Marcus Hutter, Lars Buesing, Rémi Munos
Counterfactual Credit Assignment in Model-Free Reinforcement Learning. ICML (2021)
David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh
On the Expressivity of Markov Reward. CoRR (2021)
David Abel, Will Dabney, Anna Harutyunyan, Mark K. Ho, Michael L. Littman, Doina Precup, Satinder Singh
On the Expressivity of Markov Reward. NeurIPS (2021)
Patrick Mannion, Anna Harutyunyan, Bei Peng, Kaushik Subramanian
Special issue on adaptive and learning agents 2018. Knowl. Eng. Rev. 36 (2021)
Paniz Behboudian, Yash Satsangi, Matthew E. Taylor, Anna Harutyunyan, Michael Bowling
Useful Policy Invariant Shaping from Arbitrary Advice. CoRR (2020)
Mark Rowland, Anna Harutyunyan, Hado van Hasselt, Diana Borsa, Tom Schaul, Rémi Munos, Will Dabney
Conditional Importance Sampling for Off-Policy Learning. AISTATS (2020)
Thomas Mesnard, Théophane Weber, Fabio Viola, Shantanu Thakoor, Alaa Saade, Anna Harutyunyan, Will Dabney, Tom Stepleton, Nicolas Heess, Arthur Guez, Marcus Hutter, Lars Buesing, Rémi Munos
Counterfactual Credit Assignment in Model-Free Reinforcement Learning. CoRR (2020)
Mark Rowland, Anna Harutyunyan, Hado van Hasselt, Diana Borsa, Tom Schaul, Rémi Munos, Will Dabney
Conditional Importance Sampling for Off-Policy Learning. CoRR (2019)
Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Rémi Munos, Doina Precup
The Termination Critic. CoRR (2019)
Anna Harutyunyan, Will Dabney, Diana Borsa, Nicolas Heess, Rémi Munos, Doina Precup
The Termination Critic. AISTATS (2019)
Anna Harutyunyan, Will Dabney, Thomas Mesnard, Mohammad Gheshlaghi Azar, Bilal Piot, Nicolas Heess, Hado van Hasselt, Gregory Wayne, Satinder Singh, Doina Precup, Rémi Munos
Hindsight Credit Assignment. NeurIPS (2019)
Anna Harutyunyan, Will Dabney, Thomas Mesnard, Mohammad Gheshlaghi Azar, Bilal Piot, Nicolas Heess, Hado van Hasselt, Greg Wayne, Satinder Singh, Doina Precup, Rémi Munos
Hindsight Credit Assignment. CoRR (2019)
Anna Harutyunyan, Peter Vrancx, Philippe Hamel, Ann Nowé, Doina Precup
Per-Decision Option Discounting. ICML (2019)
Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Hélène Plisnier, Ann Nowé
Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets. AAAI (2018)
Patrick Mannion, Anna Harutyunyan, Kaushik Subramanian
Special issue on adaptive and learning agents 2017. Knowl. Eng. Rev. 33 (2018)
Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé
Learning With Options That Terminate Off-Policy. AAAI (2018)
Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Ann Nowé
Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets. CoRR (2017)
Tim Brys, Anna Harutyunyan, Peter Vrancx, Ann Nowé, Matthew E. Taylor
Multi-objectivization and ensembles of shapings in reinforcement learning. Neurocomputing 263 (2017)
Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé
Learning with Options that Terminate Off-Policy. CoRR (2017)
Stefan Lambrecht, Anna Harutyunyan, Kevin Tanghe, Maarten Afschrift, Joris De Schutter, Ilse Jonkers
Real-Time Gait Event Detection Based on Kinematic Data Coupled to a Biomechanical Model. Sensors 17 (4) (2017)
Anna Harutyunyan, Marc G. Bellemare, Tom Stepleton, Rémi Munos
Q(λ) with Off-Policy Corrections. ALT (2016)
Rémi Munos, Tom Stepleton, Anna Harutyunyan, Marc G. Bellemare
Safe and Efficient Off-Policy Reinforcement Learning. CoRR (2016)
Rémi Munos, Tom Stepleton, Anna Harutyunyan, Marc G. Bellemare
Safe and Efficient Off-Policy Reinforcement Learning. NIPS (2016)
Kevin Tanghe, Anna Harutyunyan, Erwin Aertbeliën, Friedl De Groote, Joris De Schutter, Peter Vrancx, Ann Nowé
Predicting Seat-Off and Detecting Start-of-Assistance Events for Assisting Sit-to-Stand With an Exoskeleton. IEEE Robotics Autom. Lett. 1 (2) (2016)
Anna Harutyunyan, Marc G. Bellemare, Tom Stepleton, Rémi Munos
Q($λ$) with Off-Policy Corrections. CoRR (2016)
Tim Brys, Anna Harutyunyan, Matthew E. Taylor, Ann Nowé
Policy Transfer using Reward Shaping. AAMAS (2015)
Tim Brys, Anna Harutyunyan, Halit Bener Suay, Sonia Chernova, Matthew E. Taylor, Ann Nowé
Reinforcement Learning from Demonstration through Shaping. IJCAI (2015)
Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
Shaping Mario with Human Advice. AAMAS (2015)
Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
Multi-Scale Reward Shaping via an Off-Policy Ensemble. AAMAS (2015)
Anna Harutyunyan, Sam Devlin, Peter Vrancx, Ann Nowé
Expressing Arbitrary Reward Functions as Potential-Based Advice. AAAI (2015)
Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
Off-Policy Reward Shaping with Ensembles. CoRR (2015)
Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
Off-Policy Shaping Ensembles in Reinforcement Learning. CoRR (2014)
Tim Brys, Anna Harutyunyan, Peter Vrancx, Matthew E. Taylor, Daniel Kudenko, Ann Nowé
Multi-objectivization of reinforcement learning problems by reward shaping. IJCNN (2014)
Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé
Off-Policy Shaping Ensembles in Reinforcement Learning. ECAI (2014)
Glencora Borradaile, Anna Harutyunyan
Boundary-to-Boundary Flows in Planar Graphs. IWOCA (2013)
Glencora Borradaile, Anna Harutyunyan
Maximum st-flow in directed planar graphs via shortest paths CoRR (2013)
Glencora Borradaile, Anna Harutyunyan
Maximum st-Flow in Directed Planar Graphs via Shortest Paths. IWOCA (2013)
Glencora Borradaile, Anna Harutyunyan
Boundary-to-boundary flows in planar graphs. CoRR (2013)
Anna Harutyunyan, Glencora Borradaile, Chris Chambers, Christopher Scaffidi
Planted-model evaluation of algorithms for identifying differences between spreadsheets. VL/HCC (2012)