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Unsupervised Reinforcement Learning

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Showing 1–50 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 Differentiation—0
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning—0
AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization—0
Interpretable Learning Dynamics in Unsupervised Reinforcement Learning—0
Exploratory Diffusion Model for Unsupervised Reinforcement Learning—0
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions—0
Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement LearningCode0
Constrained Ensemble Exploration for Unsupervised Skill Discovery—0
Curiosity & Entropy Driven Unsupervised RL in Multiple Environments—0
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers—0
Augmenting Unsupervised Reinforcement Learning with Self-Reference—0
Exploration with Principles for Diverse AI Supervision—0
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill DiscoveryCode0
Unsupervised Discovery of Continuous Skills on a Sphere—0
A Framework for Provably Stable and Consistent Training of Deep Feedforward Networks—0
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement LearningCode0
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining—0
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model—0
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and ExplorationsCode0
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning—0
Unsupervised Reinforcement Learning for Transferable Manipulation Skill Discovery—0
Unsupervised Reinforcement Learning in Multiple EnvironmentsCode0
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning—0
Wasserstein Unsupervised Reinforcement Learning—0
Rewardless Open-Ended Learning (ROEL)—0
Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imagingCode0
APS: Active Pretraining with Successor Features—0
Variational Intrinsic Control Revisited—0
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable EnvironmentsCode0
Analysis of Evolutionary Behavior in Self-Learning Media Search Engines—0
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