{"total":29,"rows":[{"id":"2301.07608","title":"Human-Timescale Adaptation in an Open-Ended Task Space","created":"2023-01-18","cited_by_count":138,"area":null},{"id":"2212.04458","title":"General-Purpose In-Context Learning by Meta-Learning Transformers","created":"2022-12-08","cited_by_count":105,"area":null},{"id":"2102.02926","title":"Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents","created":"2021-02-04","cited_by_count":36,"area":null},{"id":"2401.14953","title":"Learning Universal Predictors","created":"2024-01-26","cited_by_count":31,"area":null},{"id":"2311.10206","title":"Bayes in the age of intelligent machines","created":"2023-11-16","cited_by_count":22,"area":null},{"id":"2302.03067","title":"Memory-Based Meta-Learning on Non-Stationary Distributions","created":"2023-02-06","cited_by_count":15,"area":null},{"id":"2208.03520","title":"Recurrent networks, hidden states and beliefs in partially observable environments","created":"2022-08-06","cited_by_count":12,"area":null},{"id":"2406.03707","title":"What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions","created":"2024-06-06","cited_by_count":10,"area":null},{"id":"2203.00715","title":"Learning Robust Real-Time Cultural Transmission without Human Data","created":"2022-03-01","cited_by_count":9,"area":null},{"id":"2205.15879","title":"Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games","created":"2022-05-31","cited_by_count":8,"area":null},{"id":"2410.14086","title":"In-context learning and Occam's razor","created":"2024-10-17","cited_by_count":8,"area":null},{"id":"2111.02907","title":"Model-Free Risk-Sensitive Reinforcement Learning","created":"2021-11-04","cited_by_count":7,"area":null},{"id":"2202.10430","title":"Learning Causal Overhypotheses through Exploration in Children and Computational Models","created":"2022-02-21","cited_by_count":7,"area":null},{"id":"2302.10831","title":"Minimax-Bayes Reinforcement Learning","created":"2023-02-21","cited_by_count":6,"area":null},{"id":"2302.11533","title":"MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning","created":"2023-02-22","cited_by_count":6,"area":null},{"id":"2505.17010","title":"Understanding Prompt Tuning and In-Context Learning via Meta-Learning","created":"2025-05-22","cited_by_count":6,"area":null},{"id":"2403.01554","title":"Transformers for Supervised Online Continual Learning","created":"2024-03-03","cited_by_count":5,"area":null},{"id":"2606.12386","title":"ATLAS: Active Theory Learning for Automated Science","created":"2026-06-10","cited_by_count":5,"area":null},{"id":"2210.16872","title":"Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction","created":"2022-10-30","cited_by_count":4,"area":null},{"id":"2502.10760","title":"Why is prompting hard? Understanding prompts on binary sequence predictors","created":"2025-02-15","cited_by_count":4,"area":null},{"id":"2403.19381","title":"On Uncertainty Quantification for Near-Bayes Optimal Algorithms","created":"2024-03-28","cited_by_count":3,"area":null},{"id":"2109.12434","title":"Emergent behavior and neural dynamics in artificial agents tracking turbulent plumes","created":"2021-09-25","cited_by_count":2,"area":null},{"id":"2305.18269","title":"Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity","created":"2023-05-29","cited_by_count":2,"area":null},{"id":"2205.06485","title":"Modeling Human Behavior Part I -- Learning and Belief Approaches","created":"2022-05-13","cited_by_count":1,"area":null},{"id":"2209.15618","title":"Beyond Bayes-optimality: meta-learning what you know you don't know","created":"2022-09-30","cited_by_count":1,"area":null},{"id":"2311.14601","title":"A Metalearned Neural Circuit for Nonparametric Bayesian Inference","created":"2023-11-24","cited_by_count":1,"area":null},{"id":"2607.17060","title":"What does a Bayes-filtered transformer believe? A predictive Monte Carlo approach","created":"2026-07-19","cited_by_count":1,"area":null},{"id":"2607.18804","title":"Elicitation without Backpropagation: Steering Model Behavior by Optimizing the Latent Posterior","created":"2026-07-21","cited_by_count":0,"area":null},{"id":"2610.20104","title":"What Do Foundation Models for Market Microstructure Learn? A Controlled Study with Synthetic Limit Order Books","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}