Analysing deep reinforcement learning agents trained with domain randomisation von Dai, Tianhong, Arulkumaran, Kai, Gerbert, Tamara, Tukra, Samyakh, Behbahani, Feryal, Bharath, Anil Anthony

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Haptic SLAM: An Ideal Observer Model for Bayesian Inference of Object Shape and Hand Pose from Contact Dynamics von Behbahani, Feryal M. P., Singla–Buxarrais, Guillem, Faisal, A. Aldo

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The emergence of decision boundaries is predicted by second order statistics of stimuli in visual categorization von M. P. Behbahani, Feryal, Faisal, A. Aldo

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Reverse-engineering the visual and haptic perceptual algorithms in the brain von Behbahani, Feryal Mehraban Pour

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Open-Endedness is Essential for Artificial Superhuman Intelligence von Hughes, Edward, Dennis, Michael, Parker-Holder, Jack, Behbahani, Feryal, Mavalankar, Aditi, Shi, Yuge, Schaul, Tom, Rocktaschel, Tim

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Structured State Space Models for In-Context Reinforcement Learning von Lu, Chris, Schroecker, Yannick, Gu, Albert, Parisotto, Emilio, Foerster, Jakob, Singh, Satinder, Behbahani, Feryal

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Hierarchical Reinforcement Learning in Complex 3D Environments von Pires, Bernardo Avila, Behbahani, Feryal, Soyer, Hubert, Nikiforou, Kyriacos, Keck, Thomas, Singh, Satinder

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Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality von Zahavy, Tom, Schroecker, Yannick, Behbahani, Feryal, Baumli, Kate, Flennerhag, Sebastian, Hou, Shaobo, Singh, Satinder

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Training Language Models to Self-Correct via Reinforcement Learning von Kumar, Aviral, Zhuang, Vincent, Agarwal, Rishabh, Su, Yi, Co-Reyes, John D, Singh, Avi, Baumli, Kate, Iqbal, Shariq, Bishop, Colton, Roelofs, Rebecca, Zhang, Lei M, McKinney, Kay, Shrivastava, Disha, Paduraru, Cosmin, Tucker, George, Precup, Doina, Behbahani, Feryal, Faust, Aleksandra

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Many-Shot In-Context Learning von Agarwal, Rishabh, Singh, Avi, Zhang, Lei M, Bohnet, Bernd, Rosias, Luis, Chan, Stephanie, Zhang, Biao, Anand, Ankesh, Abbas, Zaheer, Nova, Azade, Co-Reyes, John D, Chu, Eric, Behbahani, Feryal, Faust, Aleksandra, Larochelle, Hugo

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Model-Value Inconsistency as a Signal for Epistemic Uncertainty von Filos, Angelos, Vértes, Eszter, Marinho, Zita, Farquhar, Gregory, Borsa, Diana, Friesen, Abram, Behbahani, Feryal, Schaul, Tom, Barreto, André, Osindero, Simon

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HIERARCHICAL REINFORCEMENT LEARNING AT SCALE von SOYER, Hubert Josef, NIKIFOROU, Kyriacos, BEHBAHANI, Feryal, KECK, Thomas Albert, PIRES, Bernardo Avila, BAVEJA, Satinder Singh

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Behaviour Models for Autonomous Vehicle Simulators von Whiteson, Shimon Azariah, Kasewa, Sudhanshu, Behbahani, Feryal, Messias, Joao, Chen, Xi, Kurin, Vitaly, Shiarli, Kyriacos

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Learning Compositional Neural Programs for Continuous Control von Pierrot, Thomas, Perrin, Nicolas, Behbahani, Feryal, Laterre, Alexandre, Sigaud, Olivier, Beguir, Karim, de Freitas, Nando

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Genie: Generative Interactive Environments von Bruce, Jake, Dennis, Michael, Edwards, Ashley, Parker-Holder, Jack, Shi, Yuge, Hughes, Edward, Lai, Matthew, Mavalankar, Aditi, Steigerwald, Richie, Apps, Chris, Aytar, Yusuf, Bechtle, Sarah, Behbahani, Feryal, Chan, Stephanie, Heess, Nicolas, Gonzalez, Lucy, Osindero, Simon, Ozair, Sherjil, Reed, Scott, Zhang, Jingwei, Zolna, Konrad, Clune, Jeff, de Freitas, Nando, Singh, Satinder, Rocktäschel, Tim

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Privileged Information Dropout in Reinforcement Learning von Kamienny, Pierre-Alexandre, Arulkumaran, Kai, Behbahani, Feryal, Boehmer, Wendelin, Whiteson, Shimon

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Vision-Language Models as a Source of Rewards von Baumli, Kate, Baveja, Satinder, Behbahani, Feryal, Chan, Harris, Comanici, Gheorghe, Flennerhag, Sebastian, Gazeau, Maxime, Holsheimer, Kristian, Horgan, Dan, Laskin, Michael, Lyle, Clare, Masoom, Hussain, McKinney, Kay, Mnih, Volodymyr, Neitz, Alexander, Nikulin, Dmitry, Pardo, Fabio, Parker-Holder, Jack, Quan, John, Rocktäschel, Tim, Sahni, Himanshu, Schaul, Tom, Schroecker, Yannick, Spencer, Stephen, Steigerwald, Richie, Wang, Luyu, Zhang, Lei

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Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation von Dai, Tianhong, Arulkumaran, Kai, Gerbert, Tamara, Tukra, Samyakh, Behbahani, Feryal, Bharath, Anil Anthony

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HIERARCHICAL REINFORCEMENT LEARNING AT SCALE von SOYER, Hubert Josef, NIKIFOROU, Kyriacos, BEHBAHANI, Feryal, KECK, Thomas Albert, PIRES, Bernardo Avila, BAVEJA, Satinder Singh

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Structured State Space Models for In-Context Reinforcement Learning von Lu, Chris, Schroecker, Yannick, Gu, Albert, Parisotto, Emilio, Foerster, Jakob, Singh, Satinder, Behbahani, Feryal

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