Planted-model evaluation of algorithms for identifying differences between spreadsheets. - Anna Harutyunyan; Glencora Borradaile; Chris Chambers; Christopher Scaffidi (VL/HCC, 2012)

Boundary-to-Boundary Flows in Planar Graphs. - Glencora Borradaile; Anna Harutyunyan (IWOCA, 2013)

Maximum st-Flow in Directed Planar Graphs via Shortest Paths. - Glencora Borradaile; Anna Harutyunyan (IWOCA, 2013)

Off-Policy Shaping Ensembles in Reinforcement Learning. - Anna Harutyunyan; Tim Brys; Peter Vrancx; Ann Nowé (ECAI, 2014)

Multi-objectivization of reinforcement learning problems by reward shaping. - Tim Brys; Anna Harutyunyan; Peter Vrancx; Matthew E. Taylor; Daniel Kudenko; Ann Nowé (IJCNN, 2014)

Expressing Arbitrary Reward Functions as Potential-Based Advice. - Anna Harutyunyan; Sam Devlin; Peter Vrancx; Ann Nowé (AAAI, 2015)

Policy Transfer using Reward Shaping. - Tim Brys; Anna Harutyunyan; Matthew E. Taylor; Ann Nowé (AAMAS, 2015)

Multi-Scale Reward Shaping via an Off-Policy Ensemble. - Anna Harutyunyan; Tim Brys; Peter Vrancx; Ann Nowé (AAMAS, 2015)

Shaping Mario with Human Advice. - Anna Harutyunyan; Tim Brys; Peter Vrancx; Ann Nowé (AAMAS, 2015)

Reinforcement Learning from Demonstration through Shaping. - Tim Brys; Anna Harutyunyan; Halit Bener Suay; Sonia Chernova; Matthew E. Taylor; Ann Nowé (IJCAI, 2015)

Off-Policy Reward Shaping with Ensembles. - Anna Harutyunyan; Tim Brys; Peter Vrancx; Ann Nowé (CoRR, 2015)

Q(λ) with Off-Policy Corrections. - Anna Harutyunyan; Marc G. Bellemare; Tom Stepleton; Rémi Munos (ALT, 2016)

Safe and Efficient Off-Policy Reinforcement Learning. - Rémi Munos; Tom Stepleton; Anna Harutyunyan; Marc G. Bellemare (NIPS, 2016)

Predicting Seat-Off and Detecting Start-of-Assistance Events for Assisting Sit-to-Stand With an Exoskeleton. - Kevin Tanghe; Anna Harutyunyan; Erwin Aertbeliën; Friedl De Groote; Joris De Schutter; Peter Vrancx; Ann Nowé (IEEE Robotics Autom. Lett., 2016)

Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets. - Denis Steckelmacher; Diederik M. Roijers; Anna Harutyunyan; Peter Vrancx; Ann Nowé (CoRR, 2017)

Multi-objectivization and ensembles of shapings in reinforcement learning. - Tim Brys; Anna Harutyunyan; Peter Vrancx; Ann Nowé; Matthew E. Taylor (Neurocomputing, 2017)

Real-Time Gait Event Detection Based on Kinematic Data Coupled to a Biomechanical Model. - Stefan Lambrecht; Anna Harutyunyan; Kevin Tanghe; Maarten Afschrift; Joris De Schutter; Ilse Jonkers (Sensors, 2017)

Learning With Options That Terminate Off-Policy. - Anna Harutyunyan; Peter Vrancx; Pierre-Luc Bacon; Doina Precup; Ann Nowé (AAAI, 2018)

Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets. - Denis Steckelmacher; Diederik M. Roijers; Anna Harutyunyan; Peter Vrancx; Hélène Plisnier; Ann Nowé (AAAI, 2018)

Special issue on adaptive and learning agents 2017. - Patrick Mannion; Anna Harutyunyan; Kaushik Subramanian (Knowl. Eng. Rev., 2018)

The Termination Critic. - Anna Harutyunyan; Will Dabney; Diana Borsa; Nicolas Heess; Rémi Munos; Doina Precup (AISTATS, 2019)

Per-Decision Option Discounting. - Anna Harutyunyan; Peter Vrancx; Philippe Hamel; Ann Nowé; Doina Precup (ICML, 2019)

Hindsight Credit Assignment. - Anna Harutyunyan; Will Dabney; Thomas Mesnard; Mohammad Gheshlaghi Azar; Bilal Piot; Nicolas Heess; Hado van Hasselt; Gregory Wayne; Satinder Singh 001; Doina Precup; Rémi Munos (NeurIPS, 2019)

Conditional Importance Sampling for Off-Policy Learning. - Mark Rowland 001; Anna Harutyunyan; Hado van Hasselt; Diana Borsa; Tom Schaul; Rémi Munos; Will Dabney (AISTATS, 2020)

Useful Policy Invariant Shaping from Arbitrary Advice. - Paniz Behboudian; Yash Satsangi; Matthew E. Taylor; Anna Harutyunyan; Michael Bowling (CoRR, 2020)

Counterfactual Credit Assignment in Model-Free Reinforcement Learning. - Thomas Mesnard; Théophane Weber; Fabio Viola; Shantanu Thakoor; Alaa Saade; Anna Harutyunyan; Will Dabney; Tom Stepleton; Nicolas Heess; Arthur Guez; Marcus Hutter; Lars Buesing; et al. (CoRR, 2020)

Counterfactual Credit Assignment in Model-Free Reinforcement Learning. - 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; et al. (ICML, 2021)

On the Expressivity of Markov Reward. - David Abel; Will Dabney; Anna Harutyunyan; Mark K. Ho; Michael L. Littman; Doina Precup; Satinder Singh 001 (NeurIPS, 2021)

Special issue on adaptive and learning agents 2018. - Patrick Mannion; Anna Harutyunyan; Bei Peng 001; Kaushik Subramanian (Knowl. Eng. Rev., 2021)

On the Expressivity of Markov Reward (Extended Abstract). - David Abel; Will Dabney; Anna Harutyunyan; Mark K. Ho; Michael L. Littman; Doina Precup; Satinder Singh 001 (IJCAI, 2022)

Policy invariant explicit shaping: an efficient alternative to reward shaping. - Paniz Behboudian; Yash Satsangi; Matthew E. Taylor; Anna Harutyunyan; Michael Bowling (Neural Comput. Appl., 2022)

Bootstrapped Representations in Reinforcement Learning. - Charline Le Lan; Stephen Tu; Mark Rowland 001; Anna Harutyunyan; Rishabh Agarwal; Marc G. Bellemare; Will Dabney (ICML, 2023)

DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm. - Yunhao Tang; Tadashi Kozuno; Mark Rowland 001; Anna Harutyunyan; Rémi Munos; Bernardo Ávila Pires; Michal Valko (ICML, 2023)

Three Dogmas of Reinforcement Learning. - David Abel; Mark K. Ho; Anna Harutyunyan (RLJ, 2024)

An Analysis of Quantile Temporal-Difference Learning. - Mark Rowland 001; Rémi Munos; Mohammad Gheshlaghi Azar; Yunhao Tang; Georg Ostrovski; Anna Harutyunyan; Karl Tuyls; Marc G. Bellemare; Will Dabney (J. Mach. Learn. Res., 2024)

Agency Is Frame-Dependent. - David Abel; André Barreto 001; Michael Bowling; Will Dabney; Shi Dong; Steven Hansen 001; Anna Harutyunyan; Khimya Khetarpal; Clare Lyle; Razvan Pascanu; Georgios Piliouras; Doina Precup; et al. (CoRR, 2025)

Plasticity as the Mirror of Empowerment. - David Abel; Michael Bowling; André Barreto 001; Will Dabney; Shi Dong; Steven Hansen 001; Anna Harutyunyan; Khimya Khetarpal; Clare Lyle; Razvan Pascanu; Georgios Piliouras; Doina Precup; et al. (CoRR, 2025)