Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Kicki, Piotr, Tateo, Davide, Liu, Puze, Guenster, Jonas, Peters, Jan, Walas, Krzysztof |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
by: Günster, Jonas, et al.
Published: (2024)
by: Günster, Jonas, 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)
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion
by: Bohlinger, Nico, et al.
Published: (2024)
by: Bohlinger, Nico, et al.
Published: (2024)
Evaluation of an Actuated Spine in Agile Quadruped Locomotion
by: Bohlinger, Nico, et al.
Published: (2026)
by: Bohlinger, Nico, et al.
Published: (2026)
Learning dynamics models for velocity estimation in autonomous racing
by: Węgrzynowski, Jan, et al.
Published: (2024)
by: Węgrzynowski, Jan, et al.
Published: (2024)
Robust Localization, Mapping, and Navigation for Quadruped Robots
by: Aditya, Dyuman, et al.
Published: (2025)
by: Aditya, Dyuman, et al.
Published: (2025)
On learning racing policies with reinforcement learning
by: Czechmanowski, Grzegorz, et al.
Published: (2025)
by: Czechmanowski, Grzegorz, et al.
Published: (2025)
Adaptive Control based Friction Estimation for Tracking Control of Robot Manipulators
by: Huang, Junning, et al.
Published: (2024)
by: Huang, Junning, et al.
Published: (2024)
Beyond Constant Parameters: Hyper Prediction Models and HyperMPC
by: Węgrzynowski, Jan, et al.
Published: (2025)
by: Węgrzynowski, Jan, et al.
Published: (2025)
Towards Safe Robot Foundation Models
by: Tölle, Maximilian, et al.
Published: (2025)
by: Tölle, Maximilian, et al.
Published: (2025)
Exciting Action: Investigating Efficient Exploration for Learning Musculoskeletal Humanoid Locomotion
by: Geiß, Henri-Jacques, et al.
Published: (2024)
by: Geiß, Henri-Jacques, et al.
Published: (2024)
Trust Region Inverse Reinforcement Learning: Explicit Dual Ascent using Local Policy Updates
by: Diwan, Anish, et al.
Published: (2026)
by: Diwan, Anish, et al.
Published: (2026)
A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics
by: Liu, Puze, et al.
Published: (2024)
by: Liu, Puze, et al.
Published: (2024)
Towards Safe Robot Foundation Models Using Inductive Biases
by: Tölle, Maximilian, et al.
Published: (2025)
by: Tölle, Maximilian, et al.
Published: (2025)
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation
by: Li, Zechu, et al.
Published: (2025)
by: Li, Zechu, et al.
Published: (2025)
Distilling Contact Planning for Fast Trajectory Optimization in Robot Air Hockey
by: Jankowski, Julius, et al.
Published: (2024)
by: Jankowski, Julius, et al.
Published: (2024)
Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning
by: Zhang, Zengjie, et al.
Published: (2023)
by: Zhang, Zengjie, et al.
Published: (2023)
Maximum Total Correlation Reinforcement Learning
by: You, Bang, et al.
Published: (2025)
by: You, Bang, et al.
Published: (2025)
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models
by: Carvalho, Joao, et al.
Published: (2023)
by: Carvalho, Joao, et al.
Published: (2023)
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning
by: Zhao, Weiye, et al.
Published: (2024)
by: Zhao, Weiye, 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)
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
by: D'Eramo, Carlo, et al.
Published: (2024)
by: D'Eramo, Carlo, et al.
Published: (2024)
Apple: Toward General Active Perception via Reinforcement Learning
by: Schneider, Tim, et al.
Published: (2025)
by: Schneider, Tim, et al.
Published: (2025)
Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning
by: Feng, Meng, et al.
Published: (2025)
by: Feng, Meng, et al.
Published: (2025)
GUARD: A Safe Reinforcement Learning Benchmark
by: Zhao, Weiye, et al.
Published: (2023)
by: Zhao, Weiye, et al.
Published: (2023)
Aquatic Navigation: A Challenging Benchmark for Deep Reinforcement Learning
by: Corsi, Davide, et al.
Published: (2024)
by: Corsi, Davide, et al.
Published: (2024)
Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models
by: Carvalho, J., et al.
Published: (2024)
by: Carvalho, J., et al.
Published: (2024)
LP-MPPI: Low-Pass Filtering for Efficient Model Predictive Path Integral Control
by: Kicki, Piotr
Published: (2025)
by: Kicki, Piotr
Published: (2025)
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
by: As, Yarden, et al.
Published: (2024)
by: As, Yarden, et al.
Published: (2024)
Off-Policy Safe Reinforcement Learning with Constrained Optimistic Exploration
by: Li, Guopeng, et al.
Published: (2026)
by: Li, Guopeng, et al.
Published: (2026)
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
by: Su, Huikang, et al.
Published: (2025)
by: Su, Huikang, et al.
Published: (2025)
Learning Extrinsic Dexterity with Parameterized Manipulation Primitives
by: Yang, Shih-Min, et al.
Published: (2023)
by: Yang, Shih-Min, et al.
Published: (2023)
Superhuman Safe and Agile Racing through Multi-Agent Reinforcement Learning
by: Geles, Ismail, et al.
Published: (2026)
by: Geles, Ismail, et al.
Published: (2026)
Safe Reinforcement Learning with Minimal Supervision
by: Quessy, Alexander, et al.
Published: (2025)
by: Quessy, Alexander, et al.
Published: (2025)
Sampling-Based Safe Reinforcement Learning
by: Vignola, Luca, et al.
Published: (2026)
by: Vignola, Luca, et al.
Published: (2026)
Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change
by: Xu, Ruichen, et al.
Published: (2024)
by: Xu, Ruichen, et al.
Published: (2024)
Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving
by: Abouelazm, Ahmed, et al.
Published: (2026)
by: Abouelazm, Ahmed, et al.
Published: (2026)
Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
by: Zheng, Zhi, et al.
Published: (2024)
by: Zheng, Zhi, et al.
Published: (2024)
MoRe-ERL: Learning Motion Residuals using Episodic Reinforcement Learning
by: Huang, Xi, et al.
Published: (2025)
by: Huang, Xi, et al.
Published: (2025)
Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning
by: Schneider, Lukas, et al.
Published: (2023)
by: Schneider, Lukas, et al.
Published: (2023)
Similar Items
-
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning
by: Günster, Jonas, et al.
Published: (2024) -
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications
by: Liu, Puze, et al.
Published: (2024) -
One Policy to Run Them All: an End-to-end Learning Approach to Multi-Embodiment Locomotion
by: Bohlinger, Nico, et al.
Published: (2024) -
Evaluation of an Actuated Spine in Agile Quadruped Locomotion
by: Bohlinger, Nico, et al.
Published: (2026) -
Learning dynamics models for velocity estimation in autonomous racing
by: Węgrzynowski, Jan, et al.
Published: (2024)