Guardado en:
| Autores principales: | Moghimi, Mehrdad, Coache, Anthony, Ku, Hyejin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2602.04131 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Risk-sensitive Actor-Critic with Static Spectral Risk Measures for Online and Offline Reinforcement Learning
por: Moghimi, Mehrdad, et al.
Publicado: (2025)
por: Moghimi, Mehrdad, et al.
Publicado: (2025)
Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning
por: Moghimi, Mehrdad, et al.
Publicado: (2025)
por: Moghimi, Mehrdad, et al.
Publicado: (2025)
Eliciting Risk Aversion with Inverse Reinforcement Learning via Interactive Questioning
por: Cheng, Ziteng, et al.
Publicado: (2023)
por: Cheng, Ziteng, et al.
Publicado: (2023)
Robust Reinforcement Learning with Dynamic Distortion Risk Measures
por: Coache, Anthony, et al.
Publicado: (2024)
por: Coache, Anthony, et al.
Publicado: (2024)
Is Risk-Sensitive Reinforcement Learning Properly Resolved?
por: Zhou, Ruiwen, et al.
Publicado: (2023)
por: Zhou, Ruiwen, et al.
Publicado: (2023)
Robust Risk-Sensitive Reinforcement Learning with Conditional Value-at-Risk
por: Ni, Xinyi, et al.
Publicado: (2024)
por: Ni, Xinyi, et al.
Publicado: (2024)
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
por: Chen, Yu, et al.
Publicado: (2024)
por: Chen, Yu, et al.
Publicado: (2024)
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning
por: Zhang, Dake, et al.
Publicado: (2024)
por: Zhang, Dake, et al.
Publicado: (2024)
Learning to Reason Efficiently with Discounted Reinforcement Learning
por: Ayoub, Alex, et al.
Publicado: (2025)
por: Ayoub, Alex, et al.
Publicado: (2025)
Risk-Sensitive Reinforcement Learning with Exponential Criteria
por: Noorani, Erfaun, et al.
Publicado: (2022)
por: Noorani, Erfaun, et al.
Publicado: (2022)
On the Convergence of Modified Policy Iteration in Risk Sensitive Exponential Cost Markov Decision Processes
por: Murthy, Yashaswini, et al.
Publicado: (2023)
por: Murthy, Yashaswini, et al.
Publicado: (2023)
Reinforcement Learning with Quasi-Hyperbolic Discounting
por: Eshwar, S. R., et al.
Publicado: (2024)
por: Eshwar, S. R., et al.
Publicado: (2024)
A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents
por: Wang, Kaiwen, et al.
Publicado: (2024)
por: Wang, Kaiwen, et al.
Publicado: (2024)
Provably Efficient Partially Observable Risk-Sensitive Reinforcement Learning with Hindsight Observation
por: Zhang, Tonghe, et al.
Publicado: (2024)
por: Zhang, Tonghe, et al.
Publicado: (2024)
DSAC: Distributional Soft Actor-Critic for Risk-Sensitive Reinforcement Learning
por: Ma, Xiaoteng, et al.
Publicado: (2020)
por: Ma, Xiaoteng, et al.
Publicado: (2020)
Reinforcement Learning for Exponential Utility: Algorithms and Convergence in Discounted MDPs
por: Thoppe, Gugan, et al.
Publicado: (2026)
por: Thoppe, Gugan, et al.
Publicado: (2026)
Taming Equilibrium Bias in Risk-Sensitive Multi-Agent Reinforcement Learning
por: Fei, Yingjie, et al.
Publicado: (2024)
por: Fei, Yingjie, et al.
Publicado: (2024)
Recursive Entropic Risk Optimization in Discounted MDPs: Sample Complexity Bounds with a Generative Model
por: Mortensen, Oliver, et al.
Publicado: (2025)
por: Mortensen, Oliver, et al.
Publicado: (2025)
On the Sample Complexity of Discounted Reinforcement Learning with Optimized Certainty Equivalents
por: Mortensen, Oliver, et al.
Publicado: (2026)
por: Mortensen, Oliver, et al.
Publicado: (2026)
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence
por: Xiao, Minheng, et al.
Publicado: (2024)
por: Xiao, Minheng, et al.
Publicado: (2024)
Risk-Sensitive Q-Learning in Continuous Time with Application to Dynamic Portfolio Selection
por: Xie, Chuhan
Publicado: (2025)
por: Xie, Chuhan
Publicado: (2025)
Risk-Sensitive Agent Compositions
por: Shabadi, Guruprerana, et al.
Publicado: (2025)
por: Shabadi, Guruprerana, et al.
Publicado: (2025)
Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts
por: Enders, Tobias, et al.
Publicado: (2024)
por: Enders, Tobias, et al.
Publicado: (2024)
AdaGamma: State-Dependent Discounting for Temporal Adaptation in Reinforcement Learning
por: Wang, Yaomin, et al.
Publicado: (2026)
por: Wang, Yaomin, et al.
Publicado: (2026)
Partial Identifiability in Inverse Reinforcement Learning For Agents With Non-Exponential Discounting
por: Skalse, Joar, et al.
Publicado: (2024)
por: Skalse, Joar, et al.
Publicado: (2024)
Tail Distribution of Regret in Optimistic Reinforcement Learning
por: Khodadadian, Sajad, et al.
Publicado: (2025)
por: Khodadadian, Sajad, et al.
Publicado: (2025)
Time-Varying Constraint-Aware Reinforcement Learning for Energy Storage Control
por: Jeong, Jaeik, et al.
Publicado: (2024)
por: Jeong, Jaeik, et al.
Publicado: (2024)
Safety-Aware Reinforcement Learning for Control via Risk-Sensitive Action-Value Iteration and Quantile Regression
por: Enwerem, Clinton, et al.
Publicado: (2025)
por: Enwerem, Clinton, et al.
Publicado: (2025)
Risk-Averse Total-Reward Reinforcement Learning
por: Su, Xihong, et al.
Publicado: (2025)
por: Su, Xihong, et al.
Publicado: (2025)
Online Bayesian Risk-Averse Reinforcement Learning
por: Wang, Yuhao, et al.
Publicado: (2025)
por: Wang, Yuhao, et al.
Publicado: (2025)
Risk-Sensitive Exponential Actor Critic
por: Granados, Alonso, et al.
Publicado: (2026)
por: Granados, Alonso, et al.
Publicado: (2026)
Optimal Transport-Assisted Risk-Sensitive Q-Learning
por: Shahrooei, Zahra, et al.
Publicado: (2024)
por: Shahrooei, Zahra, et al.
Publicado: (2024)
Bayesian Risk-Sensitive Policy Optimization For MDPs With General Loss Functions
por: Wang, Xiaoshuang, et al.
Publicado: (2025)
por: Wang, Xiaoshuang, et al.
Publicado: (2025)
Optimized Local Updates in Federated Learning via Reinforcement Learning
por: Murad, Ali, et al.
Publicado: (2025)
por: Murad, Ali, et al.
Publicado: (2025)
Analyzing and Bridging the Gap between Maximizing Total Reward and Discounted Reward in Deep Reinforcement Learning
por: Yin, Shuyu, et al.
Publicado: (2024)
por: Yin, Shuyu, et al.
Publicado: (2024)
Efficient Algorithms for Mitigating Uncertainty and Risk in Reinforcement Learning
por: Su, Xihong
Publicado: (2025)
por: Su, Xihong
Publicado: (2025)
Risk-Averse Reinforcement Learning with Itakura-Saito Loss
por: Udovichenko, Igor, et al.
Publicado: (2025)
por: Udovichenko, Igor, et al.
Publicado: (2025)
Adaptive Discounting of Training Time Attacks
por: Bector, Ridhima, et al.
Publicado: (2024)
por: Bector, Ridhima, et al.
Publicado: (2024)
Learning When Not to Learn: Risk-Sensitive Abstention in Bandits with Unbounded Rewards
por: Liaw, Sarah, et al.
Publicado: (2025)
por: Liaw, Sarah, et al.
Publicado: (2025)
Ergodic Risk Measures: Towards a Risk-Aware Foundation for Continual Reinforcement Learning
por: Rojas, Juan Sebastian, et al.
Publicado: (2025)
por: Rojas, Juan Sebastian, et al.
Publicado: (2025)
Ejemplares similares
-
Risk-sensitive Actor-Critic with Static Spectral Risk Measures for Online and Offline Reinforcement Learning
por: Moghimi, Mehrdad, et al.
Publicado: (2025) -
Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning
por: Moghimi, Mehrdad, et al.
Publicado: (2025) -
Eliciting Risk Aversion with Inverse Reinforcement Learning via Interactive Questioning
por: Cheng, Ziteng, et al.
Publicado: (2023) -
Robust Reinforcement Learning with Dynamic Distortion Risk Measures
por: Coache, Anthony, et al.
Publicado: (2024) -
Is Risk-Sensitive Reinforcement Learning Properly Resolved?
por: Zhou, Ruiwen, et al.
Publicado: (2023)