Perception of transparency in man and machine. - Jacob Beck (Comput. Vis. Graph. Image Process., 1985)

Spatial frequency channels and perceptual grouping in texture segregation. - Jacob Beck; Anne Sutter; Richard B. Ivry (Comput. Vis. Graph. Image Process., 1987)

Neural Mesh: Introducing a Notion of Space and Conservation of Energy to Neural Networks. - Jacob Beck; Zoe Papakipos (CoRR, 2018)

Stackelberg Punishment and Bully-Proofing Autonomous Vehicles. - Matt Cooper; Jun Ki Lee; Jacob Beck; Joshua D. Fishman; Michael Gillett; Zoë Papakipos; Aaron Zhang; Jerome Ramos; Aansh Shah; Michael L. Littman (ICSR, 2019)

ReNeg and Backseat Driver: Learning from Demonstration with Continuous Human Feedback. - Jacob Beck; Zoe Papakipos; Michael L. Littman (CoRR, 2019)

Does the number sense represent number? - Sam Pablo Clarke; Jacob Beck (CogSci, 2020)

AMRL: Aggregated Memory For Reinforcement Learning. - Jacob Beck; Kamil Ciosek; Sam Devlin; Sebastian Tschiatschek; Cheng Zhang 005; Katja Hofmann (ICLR, 2020)

On the Practical Consistency of Meta-Reinforcement Learning Algorithms. - Zheng Xiong; Luisa M. Zintgraf; Jacob Beck; Risto Vuorio; Shimon Whiteson (CoRR, 2021)

Hypernetworks in Meta-Reinforcement Learning. - Jacob Beck; Matthew Thomas Jackson; Risto Vuorio; Shimon Whiteson (CoRL, 2022)

Improving Labeling Through Social Science Insights: Results and Research Agenda. - Jacob Beck; Stephanie Eckman; Robert F. Chew; Frauke Kreuter (HCI (43), 2022)

An Investigation of the Bias-Variance Tradeoff in Meta-Gradients. - Risto Vuorio; Jacob Beck; Shimon Whiteson; Jakob N. Foerster; Gregory Farquhar (CoRR, 2022)

Trust Region Bounds for Decentralized PPO Under Non-stationarity. - Mingfei Sun 001; Sam Devlin; Jacob Beck; Katja Hofmann; Shimon Whiteson (AAMAS, 2023)

Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. - Christoph Kern 001; Stephanie Eckman; Jacob Beck; Rob Chew 001; Bolei Ma; Frauke Kreuter (EMNLP (Findings), 2023)

Universal Morphology Control via Contextual Modulation. - Zheng Xiong; Jacob Beck; Shimon Whiteson (ICML, 2023)

Recurrent Hypernetworks are Surprisingly Strong in Meta-RL. - Jacob Beck; Risto Vuorio; Zheng Xiong; Shimon Whiteson (NeurIPS, 2023)

On the Challenges and Practices of Reinforcement Learning from Real Human Feedback. - Timo Kaufmann; Sarah Ball; Jacob Beck; Eyke Hüllermeier; Frauke Kreuter (PKDD/ECML Workshops (2), 2023)

Feeling the Slope? Teleoperation of a mobile robot using a 7DOF haptic device with attitude feedback. - Rute Luz; Aaron Pereira; José G. P. Corujeira; Thomas Krüger; Jacob Beck; Emiel Boudewijn den Exter; Thibaud Chupin; José Luís Silva 001; Rodrigo Ventura 001 (RO-MAN, 2023)

A Survey of Meta-Reinforcement Learning. - Jacob Beck; Risto Vuorio; Evan Zheran Liu; Zheng Xiong; Luisa M. Zintgraf; Chelsea Finn; Shimon Whiteson (CoRR, 2023)

Quality aspects of annotated data. - Jacob Beck (AStA Wirtschafts und Sozialstatistisches Arch., 2023)

Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control. - Zheng Xiong; Risto Vuorio; Jacob Beck; Matthieu Zimmer; Kun Shao; Shimon Whiteson (ICML, 2024)

SplAgger: Split Aggregation for Meta-Reinforcement Learning. - Jacob Beck; Matthew Thomas Jackson; Risto Vuorio; Zheng Xiong; Shimon Whiteson (RLJ, 2024)

Cracking the Code: Evaluating Zero-Shot Prompting Methods for Providing Programming Feedback. - Niklas Ippisch; Anna-Carolina Haensch; Jan Simson; Jacob Beck; Markus Herklotz; Malte Schierholz (CoRR, 2024)

Metalic: Meta-Learning In-Context with Protein Language Models. - Jacob Beck; Shikha Surana; Manus McAuliffe; Oliver Bent; Thomas D. Barrett; Juan Jose Garau-Luis; Paul Duckworth (ICLR, 2025)

A Tutorial on Meta-Reinforcement Learning. - Jacob Beck; Risto Vuorio; Evan Zheran Liu; Zheng Xiong; Luisa M. Zintgraf; Chelsea Finn; Shimon Whiteson (Found. Trends Mach. Learn., 2025)

Toward Integrating ChatGPT Into Satellite Image Annotation Workflows: A Comparison of Label Quality and Costs of Human and Automated Annotators. - Jacob Beck; Lukas Malte Kemeter; Konrad Dürrbeck; Mohamed Hesham Ibrahim Abdalla; Frauke Kreuter (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

A Survey of In-Context Reinforcement Learning. - Amir Moeini; Jiuqi Wang; Jacob Beck; Ethan Blaser; Shimon Whiteson; Rohan Chandra; Shangtong Zhang (CoRR, 2025)

SFO: Piloting VLM Feedback for Offline RL. - Jacob Beck (CoRR, 2025)