When to Localize? A Risk-Constrained Reinforcement Learning Approach
Fuente:
arXiv
Saved in:
| Main Authors: | Shek, Chak Lam, Torshizi, Kasra, Williams, Troi, Tokekar, Pratap |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
When to Localize? A POMDP Approach
by: Williams, Troi, et al.
Published: (2024)
by: Williams, Troi, et al.
Published: (2024)
Contextual Neural Moving Horizon Estimation for Robust Quadrotor Control in Varying Conditions
by: Torshizi, Kasra, et al.
Published: (2025)
by: Torshizi, Kasra, et al.
Published: (2025)
Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning
by: Shek, Chak Lam, et al.
Published: (2025)
by: Shek, Chak Lam, et al.
Published: (2025)
Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach
by: Shek, Chak Lam, et al.
Published: (2025)
by: Shek, Chak Lam, et al.
Published: (2025)
WESPR: Wind-adaptive Energy-Efficient Safe Perception & Planning for Robust Flight with Quadrotors
by: Habib, Khuzema, et al.
Published: (2026)
by: Habib, Khuzema, et al.
Published: (2026)
AFFORD2ACT: Affordance-Guided Automatic Keypoint Selection for Generalizable and Lightweight Robotic Manipulation
by: Singh, Anukriti, et al.
Published: (2025)
by: Singh, Anukriti, et al.
Published: (2025)
Learning Multi-Robot Coordination through Locality-Based Factorized Multi-Agent Actor-Critic Algorithm
by: Shek, Chak Lam, et al.
Published: (2025)
by: Shek, Chak Lam, et al.
Published: (2025)
Decision-Oriented Learning Using Differentiable Submodular Maximization for Multi-Robot Coordination
by: Shi, Guangyao, et al.
Published: (2023)
by: Shi, Guangyao, et al.
Published: (2023)
The SET Perceptual Factors Framework: Towards Assured Perception for Autonomous Systems
by: Williams, Troi
Published: (2025)
by: Williams, Troi
Published: (2025)
IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition
by: Liu, Rui, et al.
Published: (2024)
by: Liu, Rui, et al.
Published: (2024)
Adaptive Visual Imitation Learning for Robotic Assisted Feeding Across Varied Bowl Configurations and Food Types
by: Liu, Rui, et al.
Published: (2024)
by: Liu, Rui, et al.
Published: (2024)
GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection
by: Dhami, Harnaik, et al.
Published: (2020)
by: Dhami, Harnaik, et al.
Published: (2020)
KGLAMP: Knowledge Graph-guided Language model for Adaptive Multi-robot Planning and Replanning
by: Shek, Chak Lam, et al.
Published: (2026)
by: Shek, Chak Lam, et al.
Published: (2026)
CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
by: Liu, Rui, et al.
Published: (2025)
by: Liu, Rui, et al.
Published: (2025)
GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection and Defect Detection
by: Dhami, Harnaik, et al.
Published: (2024)
by: Dhami, Harnaik, et al.
Published: (2024)
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
by: Yu, Peihong, et al.
Published: (2024)
by: Yu, Peihong, et al.
Published: (2024)
Sketch-to-Skill: Bootstrapping Robot Learning with Human Drawn Trajectory Sketches
by: Yu, Peihong, et al.
Published: (2025)
by: Yu, Peihong, et al.
Published: (2025)
PEnGUiN: Partially Equivariant Graph NeUral Networks for Sample Efficient MARL
by: McClellan, Joshua, et al.
Published: (2025)
by: McClellan, Joshua, et al.
Published: (2025)
VARP: Reinforcement Learning from Vision-Language Model Feedback with Agent Regularized Preferences
by: Singh, Anukriti, et al.
Published: (2025)
by: Singh, Anukriti, et al.
Published: (2025)
MMCD: Multi-Modal Collaborative Decision-Making for Connected Autonomy with Knowledge Distillation
by: Liu, Rui, et al.
Published: (2025)
by: Liu, Rui, et al.
Published: (2025)
LANCAR: Leveraging Language for Context-Aware Robot Locomotion in Unstructured Environments
by: Shek, Chak Lam, et al.
Published: (2023)
by: Shek, Chak Lam, et al.
Published: (2023)
Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach
by: Kim, Dohyeong, et al.
Published: (2024)
by: Kim, Dohyeong, et al.
Published: (2024)
Adapting Reinforcement Learning for Path Planning in Constrained Parking Scenarios
by: Tao, Feng, et al.
Published: (2026)
by: Tao, Feng, et al.
Published: (2026)
PLANRL: A Motion Planning and Imitation Learning Framework to Bootstrap Reinforcement Learning
by: Bhaskar, Amisha, et al.
Published: (2024)
by: Bhaskar, Amisha, et al.
Published: (2024)
I-CTRL: Imitation to Control Humanoid Robots Through Constrained Reinforcement Learning
by: Yan, Yashuai, et al.
Published: (2024)
by: Yan, Yashuai, et al.
Published: (2024)
Reducing Risk for Assistive Reinforcement Learning Policies with Diffusion Models
by: Tytarenko, Andrii
Published: (2024)
by: Tytarenko, Andrii
Published: (2024)
A Distributed Approach to Autonomous Intersection Management via Multi-Agent Reinforcement Learning
by: Cederle, Matteo, et al.
Published: (2024)
by: Cederle, Matteo, et al.
Published: (2024)
Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection
by: Roos-Hoefgeest, Sara, et al.
Published: (2024)
by: Roos-Hoefgeest, Sara, et al.
Published: (2024)
When a Robot is More Capable than a Human: Learning from Constrained Demonstrators
by: Li, Xinhu, et al.
Published: (2025)
by: Li, Xinhu, et al.
Published: (2025)
Optimizing Low-Speed Autonomous Driving: A Reinforcement Learning Approach to Route Stability and Maximum Speed
by: Li, Benny Bao-Sheng, et al.
Published: (2024)
by: Li, Benny Bao-Sheng, et al.
Published: (2024)
Probabilistic Constrained Reinforcement Learning with Formal Interpretability
by: Wang, Yanran, et al.
Published: (2023)
by: Wang, Yanran, et al.
Published: (2023)
When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning
by: Dodeja, Lakshita, et al.
Published: (2026)
by: Dodeja, Lakshita, et al.
Published: (2026)
Safe CoR: A Dual-Expert Approach to Integrating Imitation Learning and Safe Reinforcement Learning Using Constraint Rewards
by: Kwon, Hyeokjin, et al.
Published: (2024)
by: Kwon, Hyeokjin, et al.
Published: (2024)
Active Asymmetric Multi-Agent Multimodal Learning under Uncertainty
by: Liu, Rui, et al.
Published: (2026)
by: Liu, Rui, et al.
Published: (2026)
Integrating Offline Pre-Training with Online Fine-Tuning: A Reinforcement Learning Approach for Robot Social Navigation
by: Su, Run, et al.
Published: (2025)
by: Su, Run, et al.
Published: (2025)
Constrained Reinforcement Learning using Distributional Representation for Trustworthy Quadrotor UAV Tracking Control
by: Wang, Yanran, et al.
Published: (2023)
by: Wang, Yanran, et al.
Published: (2023)
Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
by: Song, Yeda, et al.
Published: (2024)
by: Song, Yeda, et al.
Published: (2024)
Risk-Bounded Multi-Agent Visual Navigation via Iterative Risk Allocation
by: Parimi, Viraj, et al.
Published: (2025)
by: Parimi, Viraj, et al.
Published: (2025)
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
by: Pan, Minting, et al.
Published: (2025)
by: Pan, Minting, et al.
Published: (2025)
Learning Smooth Humanoid Locomotion through Lipschitz-Constrained Policies
by: Chen, Zixuan, et al.
Published: (2024)
by: Chen, Zixuan, et al.
Published: (2024)
Similar Items
-
When to Localize? A POMDP Approach
by: Williams, Troi, et al.
Published: (2024) -
Contextual Neural Moving Horizon Estimation for Robust Quadrotor Control in Varying Conditions
by: Torshizi, Kasra, et al.
Published: (2025) -
Option Discovery Using LLM-guided Semantic Hierarchical Reinforcement Learning
by: Shek, Chak Lam, et al.
Published: (2025) -
Multi-Agent Trust Region Policy Optimisation: A Joint Constraint Approach
by: Shek, Chak Lam, et al.
Published: (2025) -
WESPR: Wind-adaptive Energy-Efficient Safe Perception & Planning for Robust Flight with Quadrotors
by: Habib, Khuzema, et al.
Published: (2026)