SOTAVerified

Unsupervised Reinforcement Learning

Papers

Showing 150 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
Explore and Control with Adversarial SurpriseCode1
Mastering the Unsupervised Reinforcement Learning Benchmark from PixelsCode1
The Information Geometry of Unsupervised Reinforcement LearningCode1
Skill-Based Reinforcement Learning with Intrinsic Reward MatchingCode1
Behavior From the Void: Unsupervised Active Pre-TrainingCode1
Choreographer: Learning and Adapting Skills in ImaginationCode1
CIC: Contrastive Intrinsic Control for Unsupervised Skill DiscoveryCode1
Self-Supervised Exploration via DisagreementCode1
Reinforcement Learning with Prototypical RepresentationsCode1
A Mixture of Surprises for Unsupervised Reinforcement LearningCode1
Curiosity-driven Exploration by Self-supervised PredictionCode1
METRA: Scalable Unsupervised RL with Metric-Aware AbstractionCode1
Diversity is All You Need: Learning Skills without a Reward FunctionCode1
URLB: Unsupervised Reinforcement Learning BenchmarkCode1
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement LearningCode1
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement LearningCode1
Exploration by Random Network DistillationCode1
Unsupervised Reinforcement Learning in Multiple EnvironmentsCode0
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill DiscoveryCode0
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement LearningCode0
Efficient Exploration via State Marginal MatchingCode0
Impact Makes a Sound and Sound Makes an Impact: Sound Guides Representations and ExplorationsCode0
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable EnvironmentsCode0
Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement LearningCode0
Unsupervised multi-latent space reinforcement learning framework for video summarization in ultrasound imagingCode0
Variational Intrinsic ControlCode0
Exploration with Principles for Diverse AI Supervision0
Machine Learning for Intelligent Authentication in 5G-and-Beyond Wireless Networks0
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model0
Curiosity & Entropy Driven Unsupervised RL in Multiple Environments0
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining0
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning0
Constrained Ensemble Exploration for Unsupervised Skill Discovery0
Rewardless Open-Ended Learning (ROEL)0
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments0
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions0
AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization0
A Framework for Provably Stable and Consistent Training of Deep Feedforward Networks0
SMiRL: Surprise Minimizing RL in Entropic Environments0
Variational Intrinsic Control Revisited0
Augmenting Unsupervised Reinforcement Learning with Self-Reference0
Unsupervised Discovery of Continuous Skills on a Sphere0
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning0
APS: Active Pretraining with Successor Features0
Wasserstein Unsupervised Reinforcement Learning0
Unsupervised Reinforcement Learning for Transferable Manipulation Skill Discovery0
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning0
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