Hierarchical Apprenticeship Learning from Imperfect Demonstrations with Evolving Rewards
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Islam, Md Mirajul, Debnath, Rajesh, Saha, Adittya Soukarjya, Chi, Min |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
A Generalized Apprenticeship Learning Framework for Capturing Evolving Student Pedagogical Strategies
par: Islam, Md Mirajul, et autres
Publié: (2026)
par: Islam, Md Mirajul, et autres
Publié: (2026)
A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies
par: Islam, Md Mirajul, et autres
Publié: (2024)
par: Islam, Md Mirajul, et autres
Publié: (2024)
An Imperfect Verifier is Good Enough: Learning with Noisy Rewards
par: Plesner, Andreas, et autres
Publié: (2026)
par: Plesner, Andreas, et autres
Publié: (2026)
Attention-Based Reward Shaping for Sparse and Delayed Rewards
par: Holmes, Ian, et autres
Publié: (2025)
par: Holmes, Ian, et autres
Publié: (2025)
Learning Safety Constraints from Demonstrations with Unknown Rewards
par: Lindner, David, et autres
Publié: (2023)
par: Lindner, David, et autres
Publié: (2023)
Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
par: Cai, Xin-Qiang, et autres
Publié: (2025)
par: Cai, Xin-Qiang, et autres
Publié: (2025)
Learning Causally Invariant Reward Functions from Diverse Demonstrations
par: Ovinnikov, Ivan, et autres
Publié: (2024)
par: Ovinnikov, Ivan, et autres
Publié: (2024)
Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather
par: Abubakkar, Md, et autres
Publié: (2026)
par: Abubakkar, Md, et autres
Publié: (2026)
Reward Learning from Suboptimal Demonstrations with Applications in Surgical Electrocautery
par: Karimi, Zohre, et autres
Publié: (2024)
par: Karimi, Zohre, et autres
Publié: (2024)
When Errors Can Be Beneficial: A Categorization of Imperfect Rewards for Policy Gradient
par: Shang, Shuning, et autres
Publié: (2026)
par: Shang, Shuning, et autres
Publié: (2026)
Learning from Imperfect Demonstrations via Temporal Behavior Tree-Guided Trajectory Repair
par: Puranic, Aniruddh G., et autres
Publié: (2026)
par: Puranic, Aniruddh G., et autres
Publié: (2026)
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback
par: Kim, Kihyun, et autres
Publié: (2024)
par: Kim, Kihyun, et autres
Publié: (2024)
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective
par: Huang, Jiawei, et autres
Publié: (2025)
par: Huang, Jiawei, et autres
Publié: (2025)
Inverse Reinforcement Learning without an Optimal Demonstrator: A Feasible Reward Set Approach
par: Kim, Kihyun, et autres
Publié: (2026)
par: Kim, Kihyun, et autres
Publié: (2026)
From Demonstrations to Rewards: Alignment Without Explicit Human Preferences
par: Zeng, Siliang, et autres
Publié: (2025)
par: Zeng, Siliang, et autres
Publié: (2025)
From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models
par: Gumbsch, Christian, et autres
Publié: (2026)
par: Gumbsch, Christian, et autres
Publié: (2026)
Finite-time Convergence Analysis of Actor-Critic with Evolving Reward
par: Hu, Rui, et autres
Publié: (2025)
par: Hu, Rui, et autres
Publié: (2025)
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
par: Seo, Sangwon, et autres
Publié: (2025)
par: Seo, Sangwon, et autres
Publié: (2025)
Deep-and-Wide Learning: Enhancing Data-Driven Inference via Synergistic Learning of Inter- and Intra-Data Representations
par: Islam, Md Tauhidul, et autres
Publié: (2025)
par: Islam, Md Tauhidul, et autres
Publié: (2025)
Evolving Demonstration Optimization for Chain-of-Thought Feature Transformation
par: Wang, Xinyuan, et autres
Publié: (2026)
par: Wang, Xinyuan, et autres
Publié: (2026)
Learning to Defer for Causal Discovery with Imperfect Experts
par: Clivio, Oscar, et autres
Publié: (2025)
par: Clivio, Oscar, et autres
Publié: (2025)
WinTSR: A Windowed Temporal Saliency Rescaling Method for Interpreting Time Series Deep Learning Models
par: Islam, Md. Khairul, et autres
Publié: (2024)
par: Islam, Md. Khairul, et autres
Publié: (2024)
Explainable Multi-Modal Deep Learning for Automatic Detection of Lung Diseases from Respiratory Audio Signals
par: Saky, S M Asiful Islam, et autres
Publié: (2025)
par: Saky, S M Asiful Islam, et autres
Publié: (2025)
Explainable Hierarchical Deep Learning Neural Networks (Ex-HiDeNN)
par: Batley, Reza T., et autres
Publié: (2025)
par: Batley, Reza T., et autres
Publié: (2025)
Subtask-Aware Visual Reward Learning from Segmented Demonstrations
par: Kim, Changyeon, et autres
Publié: (2025)
par: Kim, Changyeon, et autres
Publié: (2025)
GOPO: Policy Optimization using Ranked Rewards
par: Choi, Kyuseong, et autres
Publié: (2026)
par: Choi, Kyuseong, et autres
Publié: (2026)
Learning to Answer from Correct Demonstrations
par: Joshi, Nirmit, et autres
Publié: (2025)
par: Joshi, Nirmit, et autres
Publié: (2025)
Hierarchical Average-Reward Linearly-solvable Markov Decision Processes
par: Infante, Guillermo, et autres
Publié: (2024)
par: Infante, Guillermo, et autres
Publié: (2024)
Imperfect World Models are Exploitable
par: Bhamidipaty, Logan Mondal, et autres
Publié: (2026)
par: Bhamidipaty, Logan Mondal, et autres
Publié: (2026)
Burning RED: Unlocking Subtask-Driven Reinforcement Learning and Risk-Awareness in Average-Reward Markov Decision Processes
par: Rojas, Juan Sebastian, et autres
Publié: (2024)
par: Rojas, Juan Sebastian, et autres
Publié: (2024)
Learning Quadruped Walking from Seconds of Demonstration
par: Zhang, Ruipeng, et autres
Publié: (2026)
par: Zhang, Ruipeng, et autres
Publié: (2026)
Hierarchical Multi-Scale Graph Neural Networks: Scalable Heterophilous Learning with Oversmoothing and Oversquashing Mitigation
par: Hossen, Md Sazzad, et autres
Publié: (2026)
par: Hossen, Md Sazzad, et autres
Publié: (2026)
Self-Play Reinforcement Learning under Imperfect Information in Big 2
par: Patwa, Aalok
Publié: (2026)
par: Patwa, Aalok
Publié: (2026)
Learning Discrete Concepts in Latent Hierarchical Models
par: Kong, Lingjing, et autres
Publié: (2024)
par: Kong, Lingjing, et autres
Publié: (2024)
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
par: Liu, Grace, et autres
Publié: (2024)
par: Liu, Grace, et autres
Publié: (2024)
Metis: Learning to Jailbreak LLMs via Self-Evolving Metacognitive Policy Optimization
par: Zhou, Huilin, et autres
Publié: (2026)
par: Zhou, Huilin, et autres
Publié: (2026)
Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only
par: Zhang, Qingru, et autres
Publié: (2025)
par: Zhang, Qingru, et autres
Publié: (2025)
Valid Inference with Imperfect Synthetic Data
par: Byun, Yewon, et autres
Publié: (2025)
par: Byun, Yewon, et autres
Publié: (2025)
Learning Parameterized Skills from Demonstrations
par: Gupta, Vedant, et autres
Publié: (2025)
par: Gupta, Vedant, et autres
Publié: (2025)
Location Agnostic Adaptive Rain Precipitation Prediction using Deep Learning
par: Islam, Md Shazid, et autres
Publié: (2024)
par: Islam, Md Shazid, et autres
Publié: (2024)
Documents similaires
-
A Generalized Apprenticeship Learning Framework for Capturing Evolving Student Pedagogical Strategies
par: Islam, Md Mirajul, et autres
Publié: (2026) -
A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies
par: Islam, Md Mirajul, et autres
Publié: (2024) -
An Imperfect Verifier is Good Enough: Learning with Noisy Rewards
par: Plesner, Andreas, et autres
Publié: (2026) -
Attention-Based Reward Shaping for Sparse and Delayed Rewards
par: Holmes, Ian, et autres
Publié: (2025) -
Learning Safety Constraints from Demonstrations with Unknown Rewards
par: Lindner, David, et autres
Publié: (2023)