Cover Image

Learning Contextually-Adaptive Rewards via Calibrated Features

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Forsey-Smerek, Alexandra, Shah, Julie, Bobu, Andreea
Format:	Preprint
Published:	2025
Subjects:	Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Masked IRL: LLM-Guided Reward Disambiguation from Demonstrations and Language
by: Hwang, Minyoung, et al.
Published: (2025)

Automation from the Worker's Perspective
by: Armstrong, Ben, et al.
Published: (2024)

GIFT: Generalizing Intent for Flexible Test-Time Rewards
by: Amin, Fin, et al.
Published: (2026)

Robots That Know What to Ask: Recovering Misaligned Rewards through Targeted Explanations
by: Merker, Helena, et al.
Published: (2026)

Adaptive Language-Guided Abstraction from Contrastive Explanations
by: Peng, Andi, et al.
Published: (2024)

Aligning Robot and Human Representations
by: Bobu, Andreea, et al.
Published: (2023)

QuickLAP: Quick Language-Action Preference Learning for Semi-Autonomous Agents
by: Nader, Jordan Abi, et al.
Published: (2025)

Goal Inference from Open-Ended Dialog
by: Ma, Rachel, et al.
Published: (2024)

Flexible Agent Alignment with Goal Inference from Open-Ended Dialog
by: Ma, Rachel, et al.
Published: (2025)

Preference-Conditioned Language-Guided Abstraction
by: Peng, Andi, et al.
Published: (2024)

Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
by: Liang, Anthony, et al.
Published: (2026)

Improving through Interaction: Searching Behavioral Representation Spaces with CMA-ES-IG
by: Dennler, Nathaniel, et al.
Published: (2026)

Learning Transparent Reward Models via Unsupervised Feature Selection
by: Baimukashev, Daulet, et al.
Published: (2024)

Task-Oriented Grasping Using Reinforcement Learning with a Contextual Reward Machine
by: Li, Hui, et al.
Published: (2025)

REALM: Real-Time Estimates of Assistance for Learned Models in Human-Robot Interaction
by: Hagenow, Michael, et al.
Published: (2025)

Reward Training Wheels: Adaptive Auxiliary Rewards for Robotics Reinforcement Learning
by: Wang, Linji, et al.
Published: (2025)

An Alignment-Based Approach to Learning Motions from Demonstrations
by: Cuellar, Alex, et al.
Published: (2025)

Multi-Objective Planning with Contextual Lexicographic Reward Preferences
by: Rustagi, Pulkit, et al.
Published: (2025)

Fuzzy Logic Theory-based Adaptive Reward Shaping for Robust Reinforcement Learning (FARS)
by: Şahin, Hürkan, et al.
Published: (2026)

Adaptive Querying for Reward Learning from Human Feedback
by: Anand, Yashwanthi, et al.
Published: (2024)

Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public Environments
by: Yu, Xinyan, et al.
Published: (2024)

Wonder Wins Ways: Curiosity-Driven Exploration through Multi-Agent Contextual Calibration
by: Pan, Yiyuan, et al.
Published: (2025)

3D Cal: An Open-Source Software Library for Calibrating Tactile Sensors
by: Kota, Rohan, et al.
Published: (2025)

Exploiting Contextual Structure to Generate Useful Auxiliary Tasks
by: Quartey, Benedict, et al.
Published: (2023)

Rank2Reward: Learning Shaped Reward Functions from Passive Video
by: Yang, Daniel, et al.
Published: (2024)

Action Contextualization: Adaptive Task Planning and Action Tuning using Large Language Models
by: Gupta, Sthithpragya, et al.
Published: (2024)

Adaptive Self-Calibration for Minimalistic Collective Perception by Imperfect Robot Swarms
by: Chin, Khai Yi, et al.
Published: (2024)

Learning How Hard to Think: Input-Adaptive Allocation of LM Computation
by: Damani, Mehul, et al.
Published: (2024)

Diffusion Reward: Learning Rewards via Conditional Video Diffusion
by: Huang, Tao, et al.
Published: (2023)

Versatile Demonstration Interface: Toward More Flexible Robot Demonstration Collection
by: Hagenow, Michael, et al.
Published: (2024)

Multi-Cycle Spatio-Temporal Adaptation in Human-Robot Teaming
by: Cuellar, Alex, et al.
Published: (2026)

TOLEBI: Learning Fault-Tolerant Bipedal Locomotion via Online Status Estimation and Fallibility Rewards
by: Lee, Hokyun, et al.
Published: (2026)

CONTHER: Human-Like Contextual Robot Learning via Hindsight Experience Replay and Transformers without Expert Demonstrations
by: Makarova, Maria, et al.
Published: (2025)

Highly Accurate Robot Calibration Using Adaptive and Momental Bound with Decoupled Weight Decay
by: Chen, Tinghui, et al.
Published: (2024)

HEADER: Hierarchical Robot Exploration via Attention-Based Deep Reinforcement Learning with Expert-Guided Reward
by: Cao, Yuhong, et al.
Published: (2025)

Inference of Human-derived Specifications of Object Placement via Demonstration
by: Cuellar, Alex, et al.
Published: (2025)

Learning to Design Soft Hands using Reward Models
by: Bai, Xueqian, et al.
Published: (2025)

Design of Reward Function on Reinforcement Learning for Automated Driving
by: Goto, Takeru, et al.
Published: (2025)

Adaptive Teaching in Heterogeneous Agents: Balancing Surprise in Sparse Reward Scenarios
by: Clark, Emma, et al.
Published: (2024)

TimeRewarder: Learning Dense Reward from Passive Videos via Frame-wise Temporal Distance
by: Liu, Yuyang, et al.
Published: (2025)