Image de couverture de livre

RISE: Robust Imitation through Stochastic Encoding

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tayal, Mumuksh, Tayal, Manan, Prakash, Ravi
Format:	Preprint
Publié:	2025
Sujets:	Robotics Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

V-OCBF: Learning Safety Filters from Offline Data via Value-Guided Offline Control Barrier Functions
par: Tayal, Mumuksh, et autres
Publié: (2025)

Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
par: Tayal, Mumuksh, et autres
Publié: (2026)

Epigraph-Guided Flow Matching for Safe and Performant Offline Reinforcement Learning
par: Tayal, Manan, et autres
Publié: (2026)

BiRoDiff: Diffusion policies for bipedal robot locomotion on unseen terrains
par: Mothish, GVS, et autres
Publié: (2024)

MAD-PINN: A Decentralized Physics-Informed Machine Learning Framework for Safe and Optimal Multi-Agent Control
par: Tayal, Manan, et autres
Publié: (2025)

Neural Control Barrier Functions from Physics Informed Neural Networks
par: Agrawal, Shreenabh, et autres
Publié: (2025)

CP-NCBF: A Conformal Prediction-based Approach to Synthesize Verified Neural Control Barrier Functions
par: Tayal, Manan, et autres
Publié: (2025)

A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems
par: Tayal, Manan, et autres
Publié: (2025)

A Fixed Parameter Tractable Approach for Solving the Vertex Cover Problem in Polynomial Time Complexity
par: Tayal, Mumuksh
Publié: (2025)

Safe Legged Locomotion using Collision Cone Control Barrier Functions (C3BFs)
par: Tayal, Manan, et autres
Publié: (2023)

Polygonal Cone Control Barrier Functions (PolyC2BF) for safe navigation in cluttered environments
par: Tayal, Manan, et autres
Publié: (2023)

Evaluating Multi-Instance DNN Inferencing on Multiple Accelerators of an Edge Device
par: Tayal, Mumuksh, et autres
Publié: (2025)

Learning a Formally Verified Control Barrier Function in Stochastic Environment
par: Tayal, Manan, et autres
Publié: (2024)

Real Time Safety of Fixed-wing UAVs using Collision Cone Control Barrier Functions
par: Agarwal, Aryan, et autres
Publié: (2024)

Control Barrier Functions in Dynamic UAVs for Kinematic Obstacle Avoidance: A Collision Cone Approach
par: Tayal, Manan, et autres
Publié: (2023)

Semi-Supervised Safe Visuomotor Policy Synthesis using Barrier Certificates
par: Tayal, Manan, et autres
Publié: (2024)

Stochastic Neural Control Barrier Functions
par: Zhang, Hongchao, et autres
Publié: (2025)

Safe and Performant Controller Synthesis using Gradient-based Model Predictive Control and Control Barrier Functions
par: Singh, Aditya, et autres
Publié: (2025)

Trajectory Adaptation using Large Language Models
par: Maurya, Anurag, et autres
Publié: (2025)

Multi-Stage Cable Routing through Hierarchical Imitation Learning
par: Luo, Jianlan, et autres
Publié: (2023)

Robust Offline Imitation Learning Through State-level Trajectory Stitching
par: Wang, Shuze, et autres
Publié: (2025)

Sequence of Expert: Boosting Imitation Planners for Autonomous Driving through Temporal Alternation
par: Li, Xiang, et autres
Publié: (2025)

IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
par: Hoque, Ryan, et autres
Publié: (2024)

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning
par: Alessi, Carlo, et autres
Publié: (2025)

When Absolute State Fails: Evaluating Proprioceptive Encodings for Robust Manipulation
par: Alvarez, Maxime, et autres
Publié: (2026)

Imitation Learning from Observation through Optimal Transport
par: Chang, Wei-Di, et autres
Publié: (2023)

GRAIL: Goal Recognition Alignment through Imitation Learning
par: Elhadad, Osher, et autres
Publié: (2026)

Latent Diffusion Planning for Imitation Learning
par: Xie, Amber, et autres
Publié: (2025)

Imitation Learning with Precisely Labeled Human Demonstrations
par: Song, Yilong
Publié: (2025)

Single-Reset Divide & Conquer Imitation Learning
par: Chenu, Alexandre, et autres
Publié: (2024)

RLIF: Interactive Imitation Learning as Reinforcement Learning
par: Luo, Jianlan, et autres
Publié: (2023)

Autonomous Human-Robot Interaction via Operator Imitation
par: Christen, Sammy, et autres
Publié: (2025)

Generalizable Imitation Learning Through Pre-Trained Representations
par: Chang, Wei-Di, et autres
Publié: (2023)

Reinforced Imitative Trajectory Planning for Urban Automated Driving
par: Zeng, Di, et autres
Publié: (2024)

In-Context Imitation Learning via Next-Token Prediction
par: Fu, Letian, et autres
Publié: (2024)

Model Predictive Adversarial Imitation Learning for Planning from Observation
par: Han, Tyler, et autres
Publié: (2025)

Adapt Your Body: Mitigating Proprioception Shifts in Imitation Learning
par: Kuang, Fuhang, et autres
Publié: (2025)

IN-RIL: Interleaved Reinforcement and Imitation Learning for Policy Fine-Tuning
par: Gao, Dechen, et autres
Publié: (2025)

Data Retrieval with Importance Weights for Few-Shot Imitation Learning
par: Xie, Amber, et autres
Publié: (2025)

SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies
par: Arachchige, Nadun Ranawaka, et autres
Publié: (2025)