{"total":58,"rows":[{"id":"2112.01871","title":"Active Inference in Robotics and Artificial Agents: Survey and Challenges","created":"2021-12-03","cited_by_count":52,"area":null},{"id":"2201.03904","title":"pymdp: A Python library for active inference in discrete state spaces","created":"2022-01-11","cited_by_count":40,"area":null},{"id":"2207.06415","title":"The Free Energy Principle for Perception and Action: A Deep Learning Perspective","created":"2022-07-13","cited_by_count":24,"area":null},{"id":"2110.10083","title":"Contrastive Active Inference","created":"2021-10-19","cited_by_count":21,"area":null},{"id":"2111.11107","title":"Branching Time Active Inference: the theory and its generality","created":"2021-11-22","cited_by_count":15,"area":null},{"id":"2307.00504","title":"On efficient computation in active inference","created":"2023-07-02","cited_by_count":15,"area":null},{"id":"2101.08699","title":"An empirical evaluation of active inference in multi-armed bandits","created":"2021-01-21","cited_by_count":12,"area":null},{"id":"2112.03899","title":"Information is Power: Intrinsic Control via Information Capture","created":"2021-12-07","cited_by_count":11,"area":null},{"id":"2103.06859","title":"Understanding the Origin of Information-Seeking Exploration in Probabilistic Objectives for Control","created":"2021-03-11","cited_by_count":10,"area":null},{"id":"2107.00140","title":"Applications of the Free Energy Principle to Machine Learning and Neuroscience","created":"2021-06-30","cited_by_count":9,"area":null},{"id":"2111.11276","title":"Branching Time Active Inference: empirical study and complexity class analysis","created":"2021-11-22","cited_by_count":9,"area":null},{"id":"2310.06253","title":"A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning","created":"2023-10-10","cited_by_count":9,"area":null},{"id":"2311.10300","title":"Supervised structure learning","created":"2023-11-17","cited_by_count":9,"area":null},{"id":"2205.10316","title":"Complex behavior from intrinsic motivation to occupy action-state path space","created":"2022-05-20","cited_by_count":7,"area":null},{"id":"2107.05438","title":"Bayesian brains and the R\\'enyi divergence","created":"2021-07-12","cited_by_count":6,"area":null},{"id":"2108.12245","title":"Active Inference for Stochastic Control","created":"2021-08-27","cited_by_count":6,"area":null},{"id":"2110.04074","title":"Active inference, Bayesian optimal design, and expected utility","created":"2021-09-21","cited_by_count":6,"area":null},{"id":"2209.09097","title":"Disentangling Shape and Pose for Object-Centric Deep Active Inference Models","created":"2022-09-16","cited_by_count":6,"area":null},{"id":"2311.06417","title":"Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference","created":"2023-11-10","cited_by_count":6,"area":null},{"id":"2102.08792","title":"Chance-Constrained Active Inference","created":"2021-02-17","cited_by_count":5,"area":null},{"id":"2203.10592","title":"Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents","created":"2022-03-20","cited_by_count":5,"area":null},{"id":"2303.01618","title":"Deconstructing deep active inference","created":"2023-03-02","cited_by_count":5,"area":null},{"id":"2402.07963","title":"SPO: Sequential Monte Carlo Policy Optimisation","created":"2024-02-12","cited_by_count":5,"area":null},{"id":"2202.09976","title":"Goal-directed Planning and Goal Understanding by Active Inference: Evaluation Through Simulated and Physical Robot Experiments","created":"2022-02-21","cited_by_count":4,"area":null},{"id":"2304.05008","title":"Habits and goals in synergy: a variational Bayesian framework for behavior","created":"2023-04-11","cited_by_count":4,"area":null},{"id":"2308.08307","title":"Integrating cognitive map learning and active inference for planning in ambiguous environments","created":"2023-08-16","cited_by_count":4,"area":null},{"id":"2403.12417","title":"On Predictive planning and counterfactual learning in active inference","created":"2024-03-19","cited_by_count":4,"area":null},{"id":"2207.09897","title":"Successor Representation Active Inference","created":"2022-07-20","cited_by_count":3,"area":null},{"id":"2103.13860","title":"Active Inference Tree Search in Large POMDPs","created":"2021-03-25","cited_by_count":2,"area":null},{"id":"2106.09938","title":"Goal-Directed Planning by Reinforcement Learning and Active Inference","created":"2021-06-18","cited_by_count":2,"area":null},{"id":"2109.04155","title":"Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem","created":"2021-09-09","cited_by_count":2,"area":null},{"id":"2112.07406","title":"Branching Time Active Inference with Bayesian Filtering","created":"2021-12-14","cited_by_count":2,"area":null},{"id":"2206.08462","title":"Recursive Neural Programs: Variational Learning of Image Grammars and Part-Whole Hierarchies","created":"2022-06-16","cited_by_count":2,"area":null},{"id":"2206.12503","title":"Multi-Modal and Multi-Factor Branching Time Active Inference","created":"2022-06-24","cited_by_count":2,"area":null},{"id":"2308.08029","title":"Sophisticated Learning: A novel algorithm for active learning during model-based planning","created":"2023-08-15","cited_by_count":2,"area":null},{"id":"2411.14991","title":"Free Energy Projective Simulation (FEPS): Active inference with interpretability","created":"2024-11-22","cited_by_count":2,"area":null},{"id":"2411.17438","title":"Object-centric proto-symbolic behavioural reasoning from pixels","created":"2024-11-26","cited_by_count":2,"area":null},{"id":"2104.11798","title":"Realising Active Inference in Variational Message Passing: the Outcome-blind Certainty Seeker","created":"2021-04-23","cited_by_count":1,"area":null},{"id":"2207.13699","title":"Modelling non-reinforced preferences using selective attention","created":"2022-07-25","cited_by_count":1,"area":null},{"id":"2302.01098","title":"A general Markov decision process formalism for action-state entropy-regularized reward maximization","created":"2023-02-02","cited_by_count":1,"area":null},{"id":"2310.13391","title":"Learning Successor Features with Distributed Hebbian Temporal Memory","created":"2023-10-20","cited_by_count":1,"area":null},{"id":"2406.09322","title":"Active Inference Meeting Energy-Efficient Control of Parallel and Identical Machines","created":"2024-06-13","cited_by_count":1,"area":null},{"id":"2505.03308","title":"An Active Inference perspective on Neurofeedback Training","created":"2025-05-06","cited_by_count":1,"area":null},{"id":"2512.03293","title":"Prior preferences in active inference agents: soft, hard, and goal shaping","created":"2025-12-02","cited_by_count":1,"area":null},{"id":"2112.03378","title":"Differentiable Generalised Predictive Coding","created":"2021-12-02","cited_by_count":0,"area":null},{"id":"2209.02550","title":"Efficient search of active inference policy spaces using k-means","created":"2022-09-06","cited_by_count":0,"area":null},{"id":"2306.05053","title":"Active Inference in Hebbian Learning Networks","created":"2023-06-08","cited_by_count":0,"area":null},{"id":"2402.10088","title":"Deep hybrid models: infer and plan in a dynamic world","created":"2024-02-01","cited_by_count":0,"area":null},{"id":"2402.11658","title":"Dynamic planning in hierarchical active inference","created":"2024-02-18","cited_by_count":0,"area":null},{"id":"2403.01977","title":"Seeing Through Uncertainty: Free-Energy-Inspired Real-Time Adaptation for Robust Visual Navigation","created":"2024-03-04","cited_by_count":0,"area":null},{"id":"2406.11984","title":"Online Pareto-Optimal Decision-Making for Complex Tasks using Active Inference","created":"2024-06-17","cited_by_count":0,"area":null},{"id":"2407.18945","title":"CogNarr Ecosystem: Facilitating Group Cognition at Scale","created":"2024-07-11","cited_by_count":0,"area":null},{"id":"2408.12777","title":"Environment-Centric Active Inference","created":"2024-08-23","cited_by_count":0,"area":null},{"id":"2501.13083","title":"Boosting MCTS with Free Energy Minimization","created":"2025-01-22","cited_by_count":0,"area":null},{"id":"2506.10420","title":"Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-based Methods","created":"2025-06-12","cited_by_count":0,"area":null},{"id":"2508.06980","title":"A memory-based active inference model of DishBrain-like adaptive behaviour","created":"2025-08-09","cited_by_count":0,"area":null},{"id":"2607.16981","title":"Expected Free Energy as Belief-Dependent Utility for rho-POMDPs","created":"2026-07-18","cited_by_count":0,"area":null},{"id":"2608.14466","title":"Expected Free Energy-based Informative Path Planning for Robotic Mars Exploration","created":"2026-08-14","cited_by_count":0,"area":null}],"next_cursor":null}