SOTAVerified

Unsupervised Reinforcement Learning

Papers

Showing 125 of 57 papers

TitleStatusHype
Zero-Shot Whole-Body Humanoid Control via Behavioral Foundation ModelsCode4
ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated CharactersCode3
M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic ManipulationCode1
METRA: Scalable Unsupervised RL with Metric-Aware AbstractionCode1
Choreographer: Learning and Adapting Skills in ImaginationCode1
Skill-Based Reinforcement Learning with Intrinsic Reward MatchingCode1
A Mixture of Surprises for Unsupervised Reinforcement LearningCode1
Mastering the Unsupervised Reinforcement Learning Benchmark from PixelsCode1
CIC: Contrastive Intrinsic Control for Unsupervised Skill DiscoveryCode1
URLB: Unsupervised Reinforcement Learning BenchmarkCode1
The Information Geometry of Unsupervised Reinforcement LearningCode1
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement LearningCode1
Explore and Control with Adversarial SurpriseCode1
Behavior From the Void: Unsupervised Active Pre-TrainingCode1
Reinforcement Learning with Prototypical RepresentationsCode1
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement LearningCode1
Self-Supervised Exploration via DisagreementCode1
Exploration by Random Network DistillationCode1
Diversity is All You Need: Learning Skills without a Reward FunctionCode1
Curiosity-driven Exploration by Self-supervised PredictionCode1
Unsupervised Skill Discovery through Skill Regions Differentiation0
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning0
AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization0
Interpretable Learning Dynamics in Unsupervised Reinforcement Learning0
Exploratory Diffusion Model for Unsupervised Reinforcement Learning0
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