Showing 1–20 of 64 results
/ Date/ Name
Aug 17, 2018Importance mixing: Improving sample reuse in evolutionary policy search methodsFeb 14, 2024Single-Reset Divide & Conquer Imitation LearningOct 9, 2023An Open-Loop Baseline for Reinforcement Learning Locomotion TasksAug 18, 2023Enhancing Agent Communication and Learning through Action and LanguageFeb 28, 2022Pedagogical Demonstrations and Pragmatic Learning in Artificial Tutor-Learner InteractionsJun 14, 2022Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement LearningJun 12, 2020Language-Conditioned Goal Generation: a New Approach to Language Grounding for RLFeb 14, 2018GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning AlgorithmsSep 24, 2024From Goal-Conditioned to Language-Conditioned Agents via Vision-Language ModelsDec 10, 2015Gated networks: an inventoryOct 14, 2025Controlling Intent Expressiveness in Robot Motion with Diffusion ModelsMar 19, 2025VIPER: Visual Perception and Explainable Reasoning for Sequential Decision-MakingOct 15, 2018CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement LearningJun 21, 2018How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning ExperimentsMay 25, 2021Towards Teachable Autotelic AgentsFeb 11, 2020To Share or Not To Share: A Comprehensive Appraisal of Weight-SharingNov 26, 2019The problem with DDPG: understanding failures in deterministic environments with sparse rewardsFeb 10, 2022Help Me Explore: Minimal Social Interventions for Graph-Based Autotelic AgentsSep 29, 2023Utility-based Adaptive Teaching Strategies using Bayesian Theory of MindFeb 11, 2025MAGELLAN: Metacognitive predictions of learning progress guide autotelic LLM agents in large goal spaces