Showing 1–20 of 49 results
/ Date/ Name
Jan 30, 2019Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy ImprovementMay 28, 2021Risk-Aware Transfer in Reinforcement Learning using Successor FeaturesJul 20, 2023On the Convergence of Bounded AgentsJun 19, 2019Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty EstimatesJul 9, 2018Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation ProblemNov 6, 2020The Value Equivalence Principle for Model-Based Reinforcement LearningJun 24, 2021The Option Keyboard: Combining Skills in Reinforcement LearningJun 2, 2020Temporally-Extended ε-Greedy ExplorationJun 1, 2022The Phenomenon of Policy ChurnMar 21, 2025Capturing Individual Human Preferences with Reward FeaturesDec 18, 2018Universal Successor Features ApproximatorsJul 20, 2023A Definition of Continual Reinforcement LearningJun 17, 2022Generalised Policy Improvement with Geometric Policy CompositionJun 3, 2020The Value-Improvement Path: Towards Better Representations for Reinforcement LearningJun 12, 2019Fast Task Inference with Variational Intrinsic Successor FeaturesJun 16, 2016Successor Features for Transfer in Reinforcement LearningJul 21, 2014Practical Kernel-Based Reinforcement LearningJul 2, 2014Classification-based Approximate Policy Iteration: Experiments and Extended DiscussionsJul 3, 2020Expected Eligibility TracesJun 18, 2021Proper Value Equivalence