Copertina

Improving planning and MBRL with temporally-extended actions

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chatterjee, Palash, Khardon, Roni
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence Robotics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Value-guided action planning with JEPA world models
di: Destrade, Matthieu, et al.
Pubblicazione: (2025)

Dynamic planning in hierarchical active inference
di: Priorelli, Matteo, et al.
Pubblicazione: (2024)

FlowDrive: moderated flow matching with data balancing for trajectory planning
di: Wang, Lingguang, et al.
Pubblicazione: (2025)

Using large language models for embodied planning introduces systematic safety risks
di: Zhang, Tao, et al.
Pubblicazione: (2026)

Motion planning for off-road autonomous driving based on human-like cognition and weight adaptation
di: Wang, Yuchun, et al.
Pubblicazione: (2024)

Streaming Flow Policy: Simplifying diffusion/flow-matching policies by treating action trajectories as flow trajectories
di: Jiang, Sunshine, et al.
Pubblicazione: (2025)

Driving pattern interpretation based on action phases clustering
di: Yao, Xue, et al.
Pubblicazione: (2024)

Improving Trajectory Stitching with Flow Models
di: O'Mahoney, Reece, et al.
Pubblicazione: (2025)

Improving Offline Reinforcement Learning with Inaccurate Simulators
di: Hou, Yiwen, et al.
Pubblicazione: (2024)

How to Provably Improve Return Conditioned Supervised Learning?
di: Liu, Zhishuai, et al.
Pubblicazione: (2025)

No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery
di: Rutherford, Alexander, et al.
Pubblicazione: (2024)

Improved Constrained Generation by Bridging Pretrained Generative Models
di: Liang, Xiaoxuan, et al.
Pubblicazione: (2026)

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents
di: Obando-Ceron, Johan, et al.
Pubblicazione: (2025)

ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
di: Zhao, Kai, et al.
Pubblicazione: (2023)

Yell At Your Robot: Improving On-the-Fly from Language Corrections
di: Shi, Lucy Xiaoyang, et al.
Pubblicazione: (2024)

RoboPocket: Improve Robot Policies Instantly with Your Phone
di: Fang, Junjie, et al.
Pubblicazione: (2026)

EfficientTDMPC: Improved MPC Objectives for Sample-Efficient Continuous Control
di: Evers, Thomas, et al.
Pubblicazione: (2026)

Stability-based Generalization Bounds for Variational Inference
di: Wei, Yadi, et al.
Pubblicazione: (2025)

Variational Inference on the Final-Layer Output of Neural Networks
di: Wei, Yadi, et al.
Pubblicazione: (2023)

Engineering Features to Improve Pass Prediction in Soccer Simulation 2D Games
di: Zare, Nader, et al.
Pubblicazione: (2024)

DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
di: Lee, Vint, et al.
Pubblicazione: (2023)

Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
di: Liu, Yuejiang, et al.
Pubblicazione: (2024)

Improving generalization of robot locomotion policies via Sharpness-Aware Reinforcement Learning
di: Bochem, Severin, et al.
Pubblicazione: (2024)

H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps
di: Niu, Haoyi, et al.
Pubblicazione: (2023)

World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry
di: Liu, Yuejiang, et al.
Pubblicazione: (2026)

Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners
di: Ng, Wen Zheng Terence, et al.
Pubblicazione: (2024)

Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
di: Dagdanov, Resul, et al.
Pubblicazione: (2022)

Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning
di: Zare, Nader, et al.
Pubblicazione: (2024)

Align and Filter: Improving Performance in Asynchronous On-Policy RL
di: Honari, Homayoun, et al.
Pubblicazione: (2026)

Learning DNF through Generalized Fourier Representations
di: Heidari, Mohsen, et al.
Pubblicazione: (2025)

Cleaning Maintenance Logs with LLM Agents for Improved Predictive Maintenance
di: Dimidov, Valeriu, et al.
Pubblicazione: (2025)

Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
di: Gerstgrasser, Matthias, et al.
Pubblicazione: (2023)

Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination
di: Kailas, Siva, et al.
Pubblicazione: (2025)

A Survey of Machine Learning Techniques for Improving Global Navigation Satellite Systems
di: Mohanty, Adyasha, et al.
Pubblicazione: (2024)

Online Action-Stacking Improves Reinforcement Learning Performance for Air Traffic Control
di: Carvell, Ben, et al.
Pubblicazione: (2026)

The Role of Functional Muscle Networks in Improving Hand Gesture Perception for Human-Machine Interfaces
di: Armanini, Costanza, et al.
Pubblicazione: (2024)

POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering
di: Chen, Weizhe, et al.
Pubblicazione: (2024)

Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes
di: Chen, Weizhe, et al.
Pubblicazione: (2023)

Harnessing Bounded-Support Evolution Strategies for Policy Refinement
di: Hirschowitz, Ethan, et al.
Pubblicazione: (2025)

Real-Time Performance Analysis of Multi-Fidelity Residual Physics-Informed Neural Process-Based State Estimation for Robotic Systems
di: Hunter, Devin, et al.
Pubblicazione: (2025)