Copertina

Contact Energy Based Hindsight Experience Prioritization

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Sayar, Erdi, Bing, Zhenshan, D'Eramo, Carlo, Oguz, Ozgur S., Knoll, Alois
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Robotics Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ContactDexNet: Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-object Contact Semantic Mapping
di: Zhang, Lei, et al.
Pubblicazione: (2024)

LEMMo-Plan: LLM-Enhanced Learning from Multi-Modal Demonstration for Planning Sequential Contact-Rich Manipulation Tasks
di: Chen, Kejia, et al.
Pubblicazione: (2024)

Language-Conditioned Imitation Learning with Base Skill Priors under Unstructured Data
di: Zhou, Hongkuan, et al.
Pubblicazione: (2023)

Pretrained Bayesian Non-parametric Knowledge Prior in Robotic Long-Horizon Reinforcement Learning
di: Meng, Yuan, et al.
Pubblicazione: (2025)

CoRAL: Contact-Rich Adaptive LLM-based Control for Robotic Manipulation
di: Çiçek, Berk, et al.
Pubblicazione: (2026)

Online Efficient Safety-Critical Control for Mobile Robots in Unknown Dynamic Multi-Obstacle Environments
di: Zhang, Yu, et al.
Pubblicazione: (2024)

RobotDancing: Residual-Action Reinforcement Learning Enables Robust Long-Horizon Humanoid Motion Tracking
di: Sun, Zhenguo, et al.
Pubblicazione: (2025)

Embodied Long Horizon Manipulation with Closed-loop Code Generation and Incremental Few-shot Adaptation
di: Meng, Yuan, et al.
Pubblicazione: (2025)

From Flow to One Step: Real-Time Multi-Modal Trajectory Policies via Implicit Maximum Likelihood Estimation-based Distribution Distillation
di: Dong, Ju, et al.
Pubblicazione: (2026)

Cluster-based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract)
di: Kim, Taeyoung, et al.
Pubblicazione: (2022)

Enabling Option Learning in Sparse Rewards with Hindsight Experience Replay
di: Romio, Gabriel, et al.
Pubblicazione: (2026)

MO-SeGMan: Rearrangement Planning Framework for Multi Objective Sequential and Guided Manipulation in Constrained Environments
di: Tuncer, Cankut Bora, et al.
Pubblicazione: (2025)

DECO: Decoupled Multimodal Diffusion Transformer for Bimanual Dexterous Manipulation with a Plugin Tactile Adapter
di: Li, Xukun, et al.
Pubblicazione: (2026)

Path Planning based on 2D Object Bounding-box
di: Huang, Yanliang, et al.
Pubblicazione: (2024)

Residual Chain Prediction for Autonomous Driving Path Planning
di: Zhou, Liguo, et al.
Pubblicazione: (2024)

E2E Parking Dataset: An Open Benchmark for End-to-End Autonomous Parking
di: Gao, Kejia, et al.
Pubblicazione: (2025)

MRHER: Model-based Relay Hindsight Experience Replay for Sequential Object Manipulation Tasks with Sparse Rewards
di: Huang, Yuming, et al.
Pubblicazione: (2023)

Integrating Legal and Logical Specifications in Perception, Prediction, and Planning for Automated Driving: A Survey of Methods
di: Manas, Kumar, et al.
Pubblicazione: (2025)

Intelligent Transportation Systems Using External Infrastructure: A Literature Survey
di: Creß, Christian, et al.
Pubblicazione: (2021)

Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning
di: Yenicesu, Arda Sarp, et al.
Pubblicazione: (2024)

State Representations as Incentives for Reinforcement Learning Agents: A Sim2Real Analysis on Robotic Grasping
di: Petropoulakis, Panagiotis, et al.
Pubblicazione: (2023)

Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners
di: Zheng, Zhi, et al.
Pubblicazione: (2024)

Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning
di: Li, Keyu, et al.
Pubblicazione: (2021)

FUNCanon: Learning Pose-Aware Action Primitives via Functional Object Canonicalization for Generalizable Robotic Manipulation
di: Xu, Hongli, et al.
Pubblicazione: (2025)

Real-time Contact State Estimation in Shape Control of Deformable Linear Objects under Small Environmental Constraints
di: Chen, Kejia, et al.
Pubblicazione: (2024)

$K$-Level Policy Gradients for Multi-Agent Reinforcement Learning
di: Reddi, Aryaman, et al.
Pubblicazione: (2025)

DepthVision: Enabling Robust Vision-Language Models with GAN-Based LiDAR-to-RGB Synthesis for Autonomous Driving
di: Kirchner, Sven, et al.
Pubblicazione: (2025)

M4Diffuser: Multi-View Diffusion Policy with Manipulability-Aware Control for Robust Mobile Manipulation
di: Dong, Ju, et al.
Pubblicazione: (2025)

Deep Fuzzy Optimization for Batch-Size and Nearest Neighbors in Optimal Robot Motion Planning
di: Zhang, Liding, et al.
Pubblicazione: (2025)

Genetic Informed Trees (GIT*): Path Planning via Reinforced Genetic Programming Heuristics
di: Zhang, Liding, et al.
Pubblicazione: (2025)

Dreaming the Unseen: World Model-regularized Diffusion Policy for Out-of-Distribution Robustness
di: Hu, Ziou, et al.
Pubblicazione: (2026)

Dynamic Obstacle Avoidance with Bounded Rationality Adversarial Reinforcement Learning
di: Holgado-Alvarez, Jose-Luis, et al.
Pubblicazione: (2025)

Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following
di: Yang, Yuxiao, et al.
Pubblicazione: (2024)

Tree-Based Grafting Approach for Bidirectional Motion Planning with Local Subsets Optimization
di: Zhang, Liding, et al.
Pubblicazione: (2025)

FFHFlow: Diverse and Uncertainty-Aware Dexterous Grasp Generation via Flow Variational Inference
di: Feng, Qian, et al.
Pubblicazione: (2024)

PRAM-R: A Perception-Reasoning-Action-Memory Framework with LLM-Guided Modality Routing for Adaptive Autonomous Driving
di: Zhang, Yi, et al.
Pubblicazione: (2026)

Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks
di: Josifovski, Josip, et al.
Pubblicazione: (2022)

Safe Continual Domain Adaptation after Sim2Real Transfer of Reinforcement Learning Policies in Robotics
di: Josifovski, Josip, et al.
Pubblicazione: (2025)

Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning
di: Vincent, Théo, et al.
Pubblicazione: (2024)

Iterated $Q$-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning
di: Vincent, Théo, et al.
Pubblicazione: (2024)