Showing 21–40 of 65 results
/ Date/ Name
Feb 11, 2025MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spacesNov 9, 2022Leveraging Sequentiality in Reinforcement Learning from a Single DemonstrationJun 9, 2022Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal EnvironmentsOct 2, 2018CEM-RL: Combining evolutionary and gradient-based methods for policy searchJun 12, 2020Grounding Language to Autonomously-Acquired Skills via Goal GenerationJun 25, 2018Accuracy-based Curriculum Learning in Deep Reinforcement LearningApr 15, 2019A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning AlgorithmsApr 15, 2022Divide & Conquer Imitation LearningMar 13, 2018Policy Search in Continuous Action Domains: an OverviewJun 29, 2016Actor-critic versus direct policy search: a comparison based on sample complexityJul 27, 2020Learning Compositional Neural Programs for Continuous ControlJun 15, 2020Diversity Policy Gradient for Sample Efficient Quality-Diversity OptimizationJun 20, 2022EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RLMay 23, 2025Imagine Beyond! Distributionally Robust Auto-Encoding for State Space Coverage in Online Reinforcement LearningSep 26, 2022Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement LearningAug 16, 2022Making Reinforcement Learning Work on SwimmerApr 11, 2022Learning Object-Centered Autotelic Behaviors with Graph Neural NetworksMar 26, 2022Combining Evolution and Deep Reinforcement Learning for Policy Search: a SurveyApr 10, 2021Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search AlgorithmsApr 24, 2020PBCS : Efficient Exploration and Exploitation Using a Synergy between Reinforcement Learning and Motion Planning