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
CIC: Contrastive Intrinsic Control for Unsupervised Skill DiscoveryCode1
A Mixture of Surprises for Unsupervised Reinforcement LearningCode1
Explore and Control with Adversarial SurpriseCode1
The Information Geometry of Unsupervised Reinforcement LearningCode1
URLB: Unsupervised Reinforcement Learning BenchmarkCode1
M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic ManipulationCode1
Curiosity-driven Exploration by Self-supervised PredictionCode1
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement LearningCode1
METRA: Scalable Unsupervised RL with Metric-Aware AbstractionCode1
Behavior From the Void: Unsupervised Active Pre-TrainingCode1
Diversity is All You Need: Learning Skills without a Reward FunctionCode1
Reinforcement Learning with Prototypical RepresentationsCode1
Mastering the Unsupervised Reinforcement Learning Benchmark from PixelsCode1
Self-Supervised Exploration via DisagreementCode1
Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement LearningCode1
Choreographer: Learning and Adapting Skills in ImaginationCode1
Skill-Based Reinforcement Learning with Intrinsic Reward MatchingCode1
Exploration by Random Network DistillationCode1
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning0
A Framework for Provably Stable and Consistent Training of Deep Feedforward Networks0
Analysis of Evolutionary Behavior in Self-Learning Media Search Engines0
APS: Active Pretraining with Successor Features0
Augmenting Unsupervised Reinforcement Learning with Self-Reference0
AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization0
CLIC: Curriculum Learning and Imitation for object Control in non-rewarding environments0
Constrained Ensemble Exploration for Unsupervised Skill Discovery0
Curiosity & Entropy Driven Unsupervised RL in Multiple Environments0
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model0
Exploration with Principles for Diverse AI Supervision0
Exploratory Diffusion Model for Unsupervised Reinforcement Learning0
Interpretable Learning Dynamics in Unsupervised Reinforcement Learning0
Learning to Control Visual Abstractions for Structured Exploration in Deep Reinforcement Learning0
LiFT: Unsupervised Reinforcement Learning with Foundation Models as Teachers0
Machine Learning for Intelligent Authentication in 5G-and-Beyond Wireless Networks0
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining0
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning0
Rewardless Open-Ended Learning (ROEL)0
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions0
SMiRL: Surprise Minimizing RL in Entropic Environments0
Unsupervised Discovery of Continuous Skills on a Sphere0
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning0
Unsupervised Reinforcement Learning for Transferable Manipulation Skill Discovery0
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation0
Unsupervised Skill Discovery through Skill Regions Differentiation0
Variational Intrinsic Control Revisited0
Wasserstein Unsupervised Reinforcement Learning0
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement LearningCode0
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable EnvironmentsCode0
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