skill discovery

Hierarchical Multi-Agent Skill Discovery NeurIPS 2023 InsActor: Instruction-driven Physics-based Characters NeurIPS 2023 Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery ICLR 2023 SCALE: Causal Learning and Discovery of Robot Manipulation Skills using Simulation CoRL 2023 Unsupervised Skill Discovery for Learning Shared Structures across Changing Environments ICML 2023 XSkill: Cross Embodiment Skill Discovery CoRL 2023 Assistive Teaching of Motor Control Tasks to Humans NeurIPS 2022 Bayesian Nonparametrics for Offline Skill Discovery ICML 2022 Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching ICLR 2022 Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity ICML 2022 Lipschitz-constrained Unsupervised Skill Discovery ICLR 2022 One After Another: Learning Incremental Skills for a Changing World ICLR 2022 Open-Ended Reinforcement Learning with Neural Reward Functions NeurIPS 2022 SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning NeurIPS 2022 Temporal abstractions-augmented temporally contrastive learning: An alternative to the Laplacian in RL UAI 2022 Unsupervised Reinforcement Learning with Contrastive Intrinsic Control NeurIPS 2022 Unsupervised Skill Discovery via Recurrent Skill Training NeurIPS 2022 Wasserstein Unsupervised Reinforcement Learning AAAI 2022 Discovering Generalizable Skills via Automated Generation of Diverse Tasks RSS 2021 Entropic Desired Dynamics for Intrinsic Control NeurIPS 2021 Relative Variational Intrinsic Control AAAI 2021 Reset-Free Lifelong Learning with Skill-Space Planning ICLR 2021 Robustly Learning Composable Options in Deep Reinforcement Learning IJCAI 2021 Skill Discovery for Exploration and Planning using Deep Skill Graphs ICML 2021 Continual Learning of Control Primitives : Skill Discovery via Reset-Games NeurIPS 2020