Copertina

CDE: Concept-Driven Exploration for Reinforcement Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Mao, Le, Liu, Andrew H., Zabounidis, Renos, Niu, Yanan, Kingston, Zachary, Campbell, Joseph
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Parallel Heuristic Search as Inference for Actor-Critic Reinforcement Learning Models
di: Yang, Hanlan, et al.
Pubblicazione: (2025)

Revisiting Replanning from Scratch: Real-Time Incremental Planning with Fast Almost-Surely Asymptotically Optimal Planners
di: Sabbadini, Mitchell E. C., et al.
Pubblicazione: (2025)

HJCD-IK: GPU-Accelerated Inverse Kinematics through Batched Hybrid Jacobian Coordinate Descent
di: Yasutake, Cael, et al.
Pubblicazione: (2025)

Linking Exteroception and Proprioception through Improved Contact Modeling for Soft Growing Robots
di: Fuentes, Francesco, et al.
Pubblicazione: (2025)

pRRTC: GPU-Parallel RRT-Connect for Fast, Consistent, and Low-Cost Motion Planning
di: Huang, Chih H., et al.
Pubblicazione: (2025)

Differentiable Particle Optimization for Fast Sequential Manipulation
di: Chen, Lucas, et al.
Pubblicazione: (2025)

CaStL: Constraints as Specifications through LLM Translation for Long-Horizon Task and Motion Planning
di: Guo, Weihang, et al.
Pubblicazione: (2024)

CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
di: Dai, Runpeng, et al.
Pubblicazione: (2025)

Vectorizing Projection in Manifold-Constrained Motion Planning for Real-Time Whole-Body Control
di: Iyer, Shrutheesh R, et al.
Pubblicazione: (2026)

Variational Shape Inference for Grasp Diffusion on SE(3)
di: Bukhari, S. Talha, et al.
Pubblicazione: (2025)

AORRTC: Almost-Surely Asymptotically Optimal Planning with RRT-Connect
di: Wilson, Tyler, et al.
Pubblicazione: (2025)

Underwater Multi-Robot Simulation and Motion Planning in Angler
di: Agrawal, Akshaya, et al.
Pubblicazione: (2025)

Efficient Multi-Robot Motion Planning for Manifold-Constrained Manipulators by Randomized Scheduling and Informed Path Generation
di: Guo, Weihang, et al.
Pubblicazione: (2024)

Constrained Nonlinear Kaczmarz Projection on Intersections of Manifolds for Coordinated Multi-Robot Mobile Manipulation
di: Agrawal, Akshaya, et al.
Pubblicazione: (2024)

Foam: A Tool for Spherical Approximation of Robot Geometry
di: Coumar, Sai, et al.
Pubblicazione: (2025)

Collision-Affording Point Trees: SIMD-Amenable Nearest Neighbors for Fast Collision Checking
di: Ramsey, Clayton W., et al.
Pubblicazione: (2024)

Physics-Grounded Differentiable Simulation for Soft Growing Robots
di: Chen, Lucas, et al.
Pubblicazione: (2025)

Parallel Simulation of Contact and Actuation for Soft Growing Robots
di: Gao, Yitian, et al.
Pubblicazione: (2025)

Nearest-Neighbourless Asymptotically Optimal Motion Planning with Fully Connected Informed Trees (FCIT*)
di: Wilson, Tyler S., et al.
Pubblicazione: (2024)

Ultrafast Sampling-based Kinodynamic Planning via Differential Flatness
di: Duong, Thai, et al.
Pubblicazione: (2026)

Where-to-Learn: Analytical Policy Gradient Directed Exploration for On-Policy Robotic Reinforcement Learning
di: Chang, Leixin, et al.
Pubblicazione: (2026)

Multi-Robot Cooperative Socially-Aware Navigation Using Multi-Agent Reinforcement Learning
di: Wang, Weizheng, et al.
Pubblicazione: (2023)

Using VLM Reasoning to Constrain Task and Motion Planning
di: Yan, Muyang, et al.
Pubblicazione: (2025)

Deep Reinforcement Learning-based Large-scale Robot Exploration
di: Cao, Yuhong, et al.
Pubblicazione: (2024)

ExploRLLM: Guiding Exploration in Reinforcement Learning with Large Language Models
di: Ma, Runyu, et al.
Pubblicazione: (2024)

Deep Reinforcement Learning for Decentralized Multi-Robot Exploration With Macro Actions
di: Tan, Aaron Hao, et al.
Pubblicazione: (2021)

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search
di: Calzolari, Gabriele, et al.
Pubblicazione: (2024)

Latent Space Reinforcement Learning for Multi-Robot Exploration
di: Rajasekar, Sriram, et al.
Pubblicazione: (2026)

CLF-RL: Control Lyapunov Function Guided Reinforcement Learning
di: Li, Kejun, et al.
Pubblicazione: (2025)

Privileged Reinforcement and Communication Learning for Distributed, Bandwidth-limited Multi-robot Exploration
di: Ma, Yixiao, et al.
Pubblicazione: (2024)

Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning
di: Zabounidis, Renos, et al.
Pubblicazione: (2025)

Scalable Exploration for High-Dimensional Continuous Control via Value-Guided Flow
di: Wei, Yunyue, et al.
Pubblicazione: (2026)

An Open Source Computer Vision and Machine Learning Framework for Affordable Life Science Robotic Automation
di: Logan, Zachary, et al.
Pubblicazione: (2026)

Off-Policy Safe Reinforcement Learning with Constrained Optimistic Exploration
di: Li, Guopeng, et al.
Pubblicazione: (2026)

ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
di: As, Yarden, et al.
Pubblicazione: (2024)

Mobile Robot Exploration Without Maps via Out-of-Distribution Deep Reinforcement Learning
di: Sivashangaran, Shathushan, et al.
Pubblicazione: (2024)

Integrated Exploration and Sequential Manipulation on Scene Graph with LLM-based Situated Replanning
di: Yang, Heqing, et al.
Pubblicazione: (2026)

SCALAR: Learning and Composing Skills through LLM Guided Symbolic Planning and Deep RL Grounding
di: Zabounidis, Renos, et al.
Pubblicazione: (2026)

Language-Driven Policy Distillation for Cooperative Driving in Multi-Agent Reinforcement Learning
di: Liu, Jiaqi, et al.
Pubblicazione: (2024)

Stability of Control Lyapunov Function Guided Reinforcement Learning
di: Olkin, Zachary, et al.
Pubblicazione: (2026)