Saved in:
| Main Authors: | Chen, Zhaorun, Zhao, Zhuokai, He, Tairan, Chen, Binhao, Zhao, Xuhao, Gong, Liang, Liu, Chengliang |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2310.03379 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RELAX: Reinforcement Learning Enabled 2D-LiDAR Autonomous System for Parsimonious UAVs
by: Wu, Guanlin, et al.
Published: (2023)
by: Wu, Guanlin, et al.
Published: (2023)
Certificated Actor-Critic: Hierarchical Reinforcement Learning with Control Barrier Functions for Safe Navigation
by: Xie, Junjun, et al.
Published: (2025)
by: Xie, Junjun, et al.
Published: (2025)
Safe Deep Policy Adaptation
by: Xiao, Wenli, et al.
Published: (2023)
by: Xiao, Wenli, et al.
Published: (2023)
Hierarchical Learning-Enhanced MPC for Safe Crowd Navigation with Heterogeneous Constraints
by: Liu, Huajian, et al.
Published: (2025)
by: Liu, Huajian, et al.
Published: (2025)
Swimming Under Constraints: A Safe Reinforcement Learning Framework for Quadrupedal Bio-Inspired Propulsion
by: Cui, Xinyu, et al.
Published: (2026)
by: Cui, Xinyu, et al.
Published: (2026)
Bridging Adaptivity and Safety: Learning Agile Collision-Free Locomotion Across Varied Physics
by: Zhong, Yichao, et al.
Published: (2025)
by: Zhong, Yichao, et al.
Published: (2025)
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning
by: Zhao, Weiye, et al.
Published: (2024)
by: Zhao, Weiye, et al.
Published: (2024)
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications
by: Liu, Puze, et al.
Published: (2024)
by: Liu, Puze, et al.
Published: (2024)
GUARD: A Safe Reinforcement Learning Benchmark
by: Zhao, Weiye, et al.
Published: (2023)
by: Zhao, Weiye, et al.
Published: (2023)
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion
by: He, Tairan, et al.
Published: (2024)
by: He, Tairan, et al.
Published: (2024)
Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving
by: Hu, Xuemin, et al.
Published: (2024)
by: Hu, Xuemin, et al.
Published: (2024)
Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation
by: Gao, Jianqi, et al.
Published: (2025)
by: Gao, Jianqi, et al.
Published: (2025)
Stability Enhancement in Reinforcement Learning via Adaptive Control Lyapunov Function
by: Chen, Donghe, et al.
Published: (2025)
by: Chen, Donghe, et al.
Published: (2025)
Integrating LTL Constraints into PPO for Safe Reinforcement Learning
by: Zhang, Maifang, et al.
Published: (2026)
by: Zhang, Maifang, et al.
Published: (2026)
Reinforcement Learning for Robotic Safe Control with Force Sensing
by: Lin, Nan, et al.
Published: (2025)
by: Lin, Nan, et al.
Published: (2025)
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
by: Chen, Zhaorun, et al.
Published: (2024)
by: Chen, Zhaorun, et al.
Published: (2024)
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
by: As, Yarden, et al.
Published: (2024)
by: As, Yarden, et al.
Published: (2024)
RoboSafe: Safeguarding Embodied Agents via Executable Safety Logic
by: Wang, Le, et al.
Published: (2025)
by: Wang, Le, et al.
Published: (2025)
Time-optimal Flight in Cluttered Environments via Safe Reinforcement Learning
by: Xiao, Wei, et al.
Published: (2024)
by: Xiao, Wei, et al.
Published: (2024)
Reinforcement Learning for Adaptive Planner Parameter Tuning: A Perspective on Hierarchical Architecture
by: Wangtao, Lu, et al.
Published: (2025)
by: Wangtao, Lu, et al.
Published: (2025)
Sampling-Based System Identification with Active Exploration for Legged Robot Sim2Real Learning
by: Sobanbabu, Nikhil, et al.
Published: (2025)
by: Sobanbabu, Nikhil, et al.
Published: (2025)
SafeMove-RL: A Certifiable Reinforcement Learning Framework for Dynamic Motion Constraints in Trajectory Planning
by: Liu, Tengfei, et al.
Published: (2025)
by: Liu, Tengfei, et al.
Published: (2025)
BronchoCopilot: Towards Autonomous Robotic Bronchoscopy via Multimodal Reinforcement Learning
by: Zhao, Jianbo, et al.
Published: (2024)
by: Zhao, Jianbo, et al.
Published: (2024)
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
by: Lin, Qian, et al.
Published: (2023)
by: Lin, Qian, et al.
Published: (2023)
Constraint-Aware Reinforcement Learning via Adaptive Action Scaling
by: Dawood, Murad, et al.
Published: (2025)
by: Dawood, Murad, et al.
Published: (2025)
Contact-Safe Reinforcement Learning with ProMP Reparameterization and Energy Awareness
by: Huang, Bingkun, et al.
Published: (2025)
by: Huang, Bingkun, et al.
Published: (2025)
Hierarchical Reinforcement Learning for Articulated Tool Manipulation with Multifingered Hand
by: Xu, Wei, et al.
Published: (2025)
by: Xu, Wei, et al.
Published: (2025)
Computationally and Sample Efficient Safe Reinforcement Learning Using Adaptive Conformal Prediction
by: Zhou, Hao, et al.
Published: (2025)
by: Zhou, Hao, et al.
Published: (2025)
WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts
by: Zhang, Chong, et al.
Published: (2024)
by: Zhang, Chong, et al.
Published: (2024)
U-OBCA: Uncertainty-Aware Optimization-Based Collision Avoidance via Wasserstein Distributionally Robust Chance Constraints
by: Wang, Zehao, et al.
Published: (2026)
by: Wang, Zehao, et al.
Published: (2026)
Semantically Safe Robot Manipulation: From Semantic Scene Understanding to Motion Safeguards
by: Brunke, Lukas, et al.
Published: (2024)
by: Brunke, Lukas, et al.
Published: (2024)
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)
Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization
by: Sun, Yifan, et al.
Published: (2023)
by: Sun, Yifan, et al.
Published: (2023)
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
by: Su, Huikang, et al.
Published: (2025)
by: Su, Huikang, et al.
Published: (2025)
FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation
by: Zhang, Yuanhang, et al.
Published: (2025)
by: Zhang, Yuanhang, et al.
Published: (2025)
Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments
by: Lee, Sang-Hyun, et al.
Published: (2023)
by: Lee, Sang-Hyun, et al.
Published: (2023)
Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections
by: Huang, Yiou
Published: (2025)
by: Huang, Yiou
Published: (2025)
Dynamic Residual Safe Reinforcement Learning for Multi-Agent Safety-Critical Scenarios Decision-Making
by: Wang, Kaifeng, et al.
Published: (2025)
by: Wang, Kaifeng, et al.
Published: (2025)
Dexterous Safe Control for Humanoids in Cluttered Environments via Projected Safe Set Algorithm
by: Chen, Rui, et al.
Published: (2025)
by: Chen, Rui, et al.
Published: (2025)
Beyond Hard Constraints: Budget-Conditioned Reachability For Safe Offline Reinforcement Learning
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2026)
by: Brahmanage, Janaka Chathuranga, et al.
Published: (2026)
Similar Items
-
RELAX: Reinforcement Learning Enabled 2D-LiDAR Autonomous System for Parsimonious UAVs
by: Wu, Guanlin, et al.
Published: (2023) -
Certificated Actor-Critic: Hierarchical Reinforcement Learning with Control Barrier Functions for Safe Navigation
by: Xie, Junjun, et al.
Published: (2025) -
Safe Deep Policy Adaptation
by: Xiao, Wenli, et al.
Published: (2023) -
Hierarchical Learning-Enhanced MPC for Safe Crowd Navigation with Heterogeneous Constraints
by: Liu, Huajian, et al.
Published: (2025) -
Swimming Under Constraints: A Safe Reinforcement Learning Framework for Quadrupedal Bio-Inspired Propulsion
by: Cui, Xinyu, et al.
Published: (2026)