:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Yangchun, Zhou, Wang, Zhou, Yirui
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2410.07643
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Rethinking Adversarial Inverse Reinforcement Learning: Policy Imitation, Transferable Reward Recovery and Algebraic Equilibrium Proof
par: Zhang, Yangchun, et autres
Publié: (2024)

On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration
par: Zhou, Yirui, et autres
Publié: (2025)

PAGAR: Taming Reward Misalignment in Inverse Reinforcement Learning-Based Imitation Learning with Protagonist Antagonist Guided Adversarial Reward
par: Zhou, Weichao, et autres
Publié: (2023)

Reward Transfer from Inverse Reinforcement Learning: A Coupled Minimax Approach
par: Hao, Guang-Yuan, et autres
Publié: (2026)

Learning Rewards, Not Labels: Adversarial Inverse Reinforcement Learning for Machinery Fault Detection
par: Neupane, Dhiraj, et autres
Publié: (2026)

Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
par: Schlaginhaufen, Andreas, et autres
Publié: (2024)

Adversarial Inverse Reinforcement Learning for Mean Field Games
par: Chen, Yang, et autres
Publié: (2021)

On Feasible Rewards in Multi-Agent Inverse Reinforcement Learning
par: Freihaut, Till, et autres
Publié: (2024)

Bayesian Inverse Reinforcement Learning for Non-Markovian Rewards
par: Topper, Noah, et autres
Publié: (2024)

Enhancing Security in Deep Reinforcement Learning: A Comprehensive Survey on Adversarial Attacks and Defenses
par: Yichao, Wu, et autres
Publié: (2025)

Multi Task Inverse Reinforcement Learning for Common Sense Reward
par: Glazer, Neta, et autres
Publié: (2024)

Reward-Relevance-Filtered Linear Offline Reinforcement Learning
par: Zhou, Angela
Publié: (2024)

IR$^3$: Contrastive Inverse Reinforcement Learning for Interpretable Detection and Mitigation of Reward Hacking
par: Beigi, Mohammad, et autres
Publié: (2026)

Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory
par: Gnecco-Heredia, Lucas, et autres
Publié: (2025)

Optimal Transfer Learning for Missing Not-at-Random Matrix Completion
par: Jalan, Akhil, et autres
Publié: (2025)

Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM Alignment
par: Cheng, Ruoxi, et autres
Publié: (2025)

Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping
par: Zhan, Simon Sinong, et autres
Publié: (2024)

Beyond Binary: Turning Partial Success into Dense Verifiable Rewards for Reinforcement Learning in Code Generation
par: Wang, Longwen, et autres
Publié: (2026)

Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors
par: Ke, Jingyang, et autres
Publié: (2025)

Focal Reward: Balanced Reinforcement Learning under Rubric-Based Rewards
par: Huang, Yu, et autres
Publié: (2026)

Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory
par: Firdoussi, Aymane El, et autres
Publié: (2024)

Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment
par: Zhou, Weichao, et autres
Publié: (2024)

Inverse Reinforcement Learning without an Optimal Demonstrator: A Feasible Reward Set Approach
par: Kim, Kihyun, et autres
Publié: (2026)

Enhancing Accuracy in Deep Learning Using Random Matrix Theory
par: Berlyand, Leonid, et autres
Publié: (2023)

Shrinking the Variance: Shrinkage Baselines for Reinforcement Learning with Verifiable Rewards
par: Zeng, Guanning, et autres
Publié: (2025)

Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
par: Fan, Mingyuan, et autres
Publié: (2023)

On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
par: Wu, Yongliang, et autres
Publié: (2025)

Provably Efficient Reward Transfer in Reinforcement Learning with Discrete Markov Decision Processes
par: Vora, Kevin, et autres
Publié: (2025)

Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing
par: Chen, Cheng, et autres
Publié: (2021)

TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning
par: Li, Yuxuan, et autres
Publié: (2025)

Generalizing Behavior via Inverse Reinforcement Learning with Closed-Form Reward Centroids
par: Lazzati, Filippo, et autres
Publié: (2025)

Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization
par: Bai, Yang, et autres
Publié: (2026)

Decision-Focused Model-based Reinforcement Learning for Reward Transfer
par: Sharma, Abhishek, et autres
Publié: (2023)

Multi-Agent Reinforcement Learning with Submodular Reward
par: Chen, Wenjing, et autres
Publié: (2026)

Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward
par: Tang, Xinyu, et autres
Publié: (2025)

Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
par: Jain, Arnav Kumar, et autres
Publié: (2024)

Trajectory Modeling via Random Utility Inverse Reinforcement Learning
par: Pitombeira-Neto, Anselmo R., et autres
Publié: (2021)

Random Matrix Theory for Deep Learning: Beyond Eigenvalues of Linear Models
par: Liao, Zhenyu, et autres
Publié: (2025)

Diffusion-Reward Adversarial Imitation Learning
par: Lai, Chun-Mao, et autres
Publié: (2024)

Towards Generalized Inverse Reinforcement Learning
par: Dong, Chaosheng, et autres
Publié: (2024)