:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Tytarenko, Andrii
Format:	Preprint
Published:	2024
Subjects:	Robotics Artificial Intelligence
Online Access:	https://arxiv.org/abs/2405.07603
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Detecting Unsafe Behavior in Neural Network Imitation Policies for Caregiving Robotics
by: Tytarenko, Andrii
Published: (2024)

Assistax: A Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics
by: Hinckeldey, Leonard, et al.
Published: (2025)

Enhancing Robot Assistive Behaviour with Reinforcement Learning and Theory of Mind
by: Andriella, Antonio, et al.
Published: (2024)

World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation
by: Jiang, Zhennan, et al.
Published: (2025)

Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)

Reduced-Order Model-Guided Reinforcement Learning for Demonstration-Free Humanoid Locomotion
by: Liu, Shuai, et al.
Published: (2025)

Casper: Inferring Diverse Intents for Assistive Teleoperation with Vision Language Models
by: Liu, Huihan, et al.
Published: (2025)

Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models
by: Høeg, Sigmund H., et al.
Published: (2024)

AdaWorldPolicy: World-Model-Driven Diffusion Policy with Online Adaptive Learning for Robotic Manipulation
by: Yuan, Ge, et al.
Published: (2026)

Flexible Multitask Learning with Factorized Diffusion Policy
by: Liu, Chaoqi, et al.
Published: (2025)

Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving
by: Kujanpää, Kalle, et al.
Published: (2025)

Learning Coordinated Bimanual Manipulation Policies using State Diffusion and Inverse Dynamics Models
by: Chen, Haonan, et al.
Published: (2025)

IN-RIL: Interleaved Reinforcement and Imitation Learning for Policy Fine-Tuning
by: Gao, Dechen, et al.
Published: (2025)

REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement Learning
by: Gu, Zhaoyuan, et al.
Published: (2026)

TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning
by: Chen, Yuhui, et al.
Published: (2025)

Composing Diffusion Policies for Few-shot Learning of Movement Trajectories
by: Patil, Omkar, et al.
Published: (2024)

When to Localize? A Risk-Constrained Reinforcement Learning Approach
by: Shek, Chak Lam, et al.
Published: (2024)

Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning
by: Ada, Suzan Ece, et al.
Published: (2023)

When to Act: Calibrated Confidence for Reliable Human Intention Prediction in Assistive Robotics
by: Gaus, Johannes A., et al.
Published: (2026)

Feedback World Model Enables Precise Guidance of Diffusion Policy
by: An, Tuo, et al.
Published: (2026)

Learning Diffusion Policies from Demonstrations For Compliant Contact-rich Manipulation
by: Aburub, Malek, et al.
Published: (2024)

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)

LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation
by: Zhu, Guobin, et al.
Published: (2025)

COLSON: Controllable Learning-Based Social Navigation via Diffusion-Based Reinforcement Learning
by: Matsumoto, Kohei, et al.
Published: (2025)

Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning
by: Shitanda, Naoki, et al.
Published: (2026)

Agent-Driven Autonomous Reinforcement Learning Research: Iterative Policy Improvement for Quadruped Locomotion
by: Khandelwal, Nimesh, et al.
Published: (2026)

Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
by: Huang, Jianuo
Published: (2024)

ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning
by: Zhou, Zihan, et al.
Published: (2025)

Mutual Information Tracks Policy Coherence in Reinforcement Learning
by: Reid, Cameron, et al.
Published: (2025)

Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning
by: Cheng, Xiang, et al.
Published: (2024)

Offline Reinforcement Learning with Discrete Diffusion Skills
by: Qiao, RuiXi, et al.
Published: (2025)

Real-Time Iteration Scheme for Diffusion Policy
by: Duan, Yufei, et al.
Published: (2025)

Robust Policy Learning via Offline Skill Diffusion
by: Kim, Woo Kyung, et al.
Published: (2024)

SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy
by: Bartsch, Alison, et al.
Published: (2024)

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
by: Xu, Charles, et al.
Published: (2024)

Dual Action Policy for Robust Sim-to-Real Reinforcement Learning
by: Terence, Ng Wen Zheng, et al.
Published: (2024)

ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy
by: Chen, Yuhui, et al.
Published: (2025)

Extending Group Relative Policy Optimization to Continuous Control: A Theoretical Framework for Robotic Reinforcement Learning
by: Khanda, Rajat, et al.
Published: (2025)

Safe Continual Domain Adaptation after Sim2Real Transfer of Reinforcement Learning Policies in Robotics
by: Josifovski, Josip, et al.
Published: (2025)