Saved in:
| Main Authors: | Wang, Zizhao, Hu, Jiaheng, Chuck, Caleb, Chen, Stephen, Martín-Martín, Roberto, Zhang, Amy, Niekum, Scott, Stone, Peter |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.18416 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
by: Hu, Jiaheng, et al.
Published: (2024)
by: Hu, Jiaheng, et al.
Published: (2024)
A Dual Approach to Imitation Learning from Observations with Offline Datasets
by: Sikchi, Harshit, et al.
Published: (2024)
by: Sikchi, Harshit, et al.
Published: (2024)
Granger Causal Interaction Skill Chains
by: Chuck, Caleb, et al.
Published: (2023)
by: Chuck, Caleb, et al.
Published: (2023)
RLZero: Direct Policy Inference from Language Without In-Domain Supervision
by: Sikchi, Harshit, et al.
Published: (2024)
by: Sikchi, Harshit, et al.
Published: (2024)
Learning to Look: Seeking Information for Decision Making via Policy Factorization
by: Dass, Shivin, et al.
Published: (2024)
by: Dass, Shivin, et al.
Published: (2024)
SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL
by: Hu, Jiaheng, et al.
Published: (2025)
by: Hu, Jiaheng, et al.
Published: (2025)
Automated Discovery of Functional Actual Causes in Complex Environments
by: Chuck, Caleb, et al.
Published: (2024)
by: Chuck, Caleb, et al.
Published: (2024)
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
by: Tang, Chen, et al.
Published: (2024)
by: Tang, Chen, et al.
Published: (2024)
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
by: Chuck, Caleb, et al.
Published: (2025)
by: Chuck, Caleb, et al.
Published: (2025)
Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning
by: Hu, Jiaheng, et al.
Published: (2026)
by: Hu, Jiaheng, et al.
Published: (2026)
Factored Latent Action World Models
by: Wang, Zizhao, et al.
Published: (2026)
by: Wang, Zizhao, et al.
Published: (2026)
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
by: Sikchi, Harshit, et al.
Published: (2023)
by: Sikchi, Harshit, et al.
Published: (2023)
Group-Invariant Unsupervised Skill Discovery: Symmetry-aware Skill Representations for Generalizable Behavior
by: Chang, Junwoo, et al.
Published: (2026)
by: Chang, Junwoo, et al.
Published: (2026)
Learning Action-based Representations Using Invariance
by: Rudolph, Max, et al.
Published: (2024)
by: Rudolph, Max, et al.
Published: (2024)
Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination
by: Ghani, Saad Abdul, et al.
Published: (2024)
by: Ghani, Saad Abdul, et al.
Published: (2024)
TeleMoMa: A Modular and Versatile Teleoperation System for Mobile Manipulation
by: Dass, Shivin, et al.
Published: (2024)
by: Dass, Shivin, et al.
Published: (2024)
FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning
by: Hu, Jiaheng, et al.
Published: (2024)
by: Hu, Jiaheng, et al.
Published: (2024)
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
by: Sikchi, Harshit, et al.
Published: (2023)
by: Sikchi, Harshit, et al.
Published: (2023)
Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
by: Jajoo, Pranaya, et al.
Published: (2026)
by: Jajoo, Pranaya, et al.
Published: (2026)
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery
by: Liu, Xin, et al.
Published: (2023)
by: Liu, Xin, et al.
Published: (2023)
Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion
by: Rho, Seungeun, et al.
Published: (2025)
by: Rho, Seungeun, et al.
Published: (2025)
Language Guided Skill Discovery
by: Rho, Seungeun, et al.
Published: (2024)
by: Rho, Seungeun, et al.
Published: (2024)
Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation
by: Jansonnie, Paul, et al.
Published: (2024)
by: Jansonnie, Paul, et al.
Published: (2024)
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning
by: Chuck, Caleb, et al.
Published: (2024)
by: Chuck, Caleb, et al.
Published: (2024)
RoboSSM: Scalable In-context Imitation Learning via State-Space Models
by: Yoo, Youngju, et al.
Published: (2025)
by: Yoo, Youngju, et al.
Published: (2025)
Periodic Skill Discovery
by: Park, Jonghae, et al.
Published: (2025)
by: Park, Jonghae, et al.
Published: (2025)
Fast Adaptation with Behavioral Foundation Models
by: Sikchi, Harshit, et al.
Published: (2025)
by: Sikchi, Harshit, et al.
Published: (2025)
LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery
by: Wan, Weikang, et al.
Published: (2023)
by: Wan, Weikang, et al.
Published: (2023)
Agentic Skill Discovery
by: Zhao, Xufeng, et al.
Published: (2024)
by: Zhao, Xufeng, et al.
Published: (2024)
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
by: Wang, Zizhao, et al.
Published: (2024)
by: Wang, Zizhao, et al.
Published: (2024)
Identifying Selections for Unsupervised Subtask Discovery
by: Qiu, Yiwen, et al.
Published: (2024)
by: Qiu, Yiwen, et al.
Published: (2024)
Model-Based Runtime Monitoring with Interactive Imitation Learning
by: Liu, Huihan, et al.
Published: (2023)
by: Liu, Huihan, et al.
Published: (2023)
Knot So Simple: A Minimalistic Environment for Spatial Reasoning
by: Chen, Zizhao, et al.
Published: (2025)
by: Chen, Zizhao, et al.
Published: (2025)
Large-Language-Model-Guided State Estimation for Partially Observable Task and Motion Planning
by: Kim, Yoonwoo, et al.
Published: (2026)
by: Kim, Yoonwoo, et al.
Published: (2026)
Constrained Skill Discovery: Quadruped Locomotion with Unsupervised Reinforcement Learning
by: Atanassov, Vassil, et al.
Published: (2024)
by: Atanassov, Vassil, et al.
Published: (2024)
Diverse Skill Discovery for Quadruped Robots via Unsupervised Learning
by: Cui, Ruopeng, et al.
Published: (2026)
by: Cui, Ruopeng, et al.
Published: (2026)
L3M+P: Lifelong Planning with Large Language Models
by: Agarwal, Krish, et al.
Published: (2025)
by: Agarwal, Krish, et al.
Published: (2025)
LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios
by: Peng, Mingxing, et al.
Published: (2025)
by: Peng, Mingxing, et al.
Published: (2025)
Learning Agile Striker Skills for Humanoid Soccer Robots from Noisy Sensory Input
by: Xu, Zifan, et al.
Published: (2025)
by: Xu, Zifan, et al.
Published: (2025)
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint
by: Ma, Haitong, et al.
Published: (2024)
by: Ma, Haitong, et al.
Published: (2024)
Similar Items
-
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
by: Hu, Jiaheng, et al.
Published: (2024) -
A Dual Approach to Imitation Learning from Observations with Offline Datasets
by: Sikchi, Harshit, et al.
Published: (2024) -
Granger Causal Interaction Skill Chains
by: Chuck, Caleb, et al.
Published: (2023) -
RLZero: Direct Policy Inference from Language Without In-Domain Supervision
by: Sikchi, Harshit, et al.
Published: (2024) -
Learning to Look: Seeking Information for Decision Making via Policy Factorization
by: Dass, Shivin, et al.
Published: (2024)