Distributional Reinforcement Learning with Quantile Regression

27 October 2017

Papers citing "Distributional Reinforcement Learning with Quantile Regression"

50 / 401 papers shown

Title
Flow Models for Unbounded and Geometry-Aware Distributional Reinforcement Learning Simo Alami C. Rim Kaddah Jesse Read Marie-Paule Cani 53 0 0 07 May 2025
Unraveling the Rainbow: can value-based methods schedule? Arthur Corrêa Alexandre Jesus Cristóvão Silva Samuel Moniz OffRL 40 0 0 06 May 2025
Autonomous Control of Redundant Hydraulic Manipulator Using Reinforcement Learning with Action Feedback Rohit Dhakate Christian Brommer C. Böhm Stephan Weiss J. Steinbrener 36 5 0 22 Apr 2025
Moderate Actor-Critic Methods: Controlling Overestimation Bias via Expectile Loss Ukjo Hwang Songnam Hong OffRL 41 0 0 14 Apr 2025
A Champion-level Vision-based Reinforcement Learning Agent for Competitive Racing in Gran Turismo 7 Hojoon Lee Takuma Seno Jun Jet Tai K. Subramanian Kenta Kawamoto Peter Stone Peter R. Wurman 34 0 0 12 Apr 2025
Offline and Distributional Reinforcement Learning for Wireless Communications Eslam Eldeeb Hirley Alves OffRL 29 0 0 04 Apr 2025
UC-MOA: Utility-Conditioned Multi-Objective Alignment for Distributional Pareto-Optimality Zelei Cheng Xin-Qiang Cai Yuting Tang Pushi Zhang Boming Yang Masashi Sugiyama Xinyu Xing 51 0 0 10 Mar 2025
Tractable Representations for Convergent Approximation of Distributional HJB Equations Julie Alhosh Harley Wiltzer David Meger 36 0 0 07 Mar 2025
Behavior Preference Regression for Offline Reinforcement Learning Padmanaba Srinivasan William J. Knottenbelt OffRL 38 0 0 02 Mar 2025
RIZE: Regularized Imitation Learning via Distributional Reinforcement Learning Adib Karimi Mohammad Mehdi Ebadzadeh OOD 50 0 0 27 Feb 2025
Adaptive Nesterov Accelerated Distributional Deep Hedging for Efficient Volatility Risk Management Lei Zhao Lin Cai Wu-Sheng Lu 52 0 0 25 Feb 2025
IGN : Implicit Generative Networks Haozheng Luo Tianyi Wu Feiyu Han Zhijun Yan OffRL 37 1 0 24 Feb 2025
On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration Yirui Zhou Xiaowei Liu Xiaofeng Zhang Yangchun Zhang 41 0 0 22 Jan 2025
Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics S. Hazra P. Dasgupta Soumyajit Dey 43 0 0 21 Jan 2025
Risk-averse policies for natural gas futures trading using distributional reinforcement learning Félicien Hêche Biagio Nigro Oussama Barakat Stephan Robert-Nicoud OffRL 44 0 0 08 Jan 2025
Beyond CVaR: Leveraging Static Spectral Risk Measures for Enhanced Decision-Making in Distributional Reinforcement Learning Mehrdad Moghimi Hyejin Ku OffRL 48 0 0 03 Jan 2025
AdaCred: Adaptive Causal Decision Transformers with Feature Crediting Hemant Kumawat Saibal Mukhopadhyay 82 1 0 19 Dec 2024
Hedging and Pricing Structured Products Featuring Multiple Underlying Assets Anil Sharma Freeman Chen Jaesun Noh Julio DeJesus Mario Schlener 24 1 0 02 Nov 2024
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions Rui Yang Jie Wang Guoping Wu Yangqiu Song AAML OffRL 53 1 0 01 Nov 2024
Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis J. Hau Erick Delage Esther Derman Mohammad Ghavamzadeh Marek Petrik 31 1 0 31 Oct 2024
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning Harley Wiltzer Marc G. Bellemare David Meger Patrick Shafto Yash Jhaveri 34 1 0 14 Oct 2024
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning Hojoon Lee Dongyoon Hwang Donghu Kim Hyunseung Kim Jun Jet Tai K. Subramanian Peter R. Wurman Jaegul Choo Peter Stone Takuma Seno OffRL 78 8 0 13 Oct 2024
Offline and Distributional Reinforcement Learning for Radio Resource Management Eslam Eldeeb Hirley Alves OffRL 33 2 0 25 Sep 2024
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection Matteo Zecchin Sangwoo Park Osvaldo Simeone LM&MA 79 3 0 24 Sep 2024
Handling Long-Term Safety and Uncertainty in Safe Reinforcement Learning Jonas Günster Puze Liu Jan Peters Davide Tateo OffRL 36 2 0 18 Sep 2024
Quantile Regression for Distributional Reward Models in RLHF Nicolai Dorka 37 17 0 16 Sep 2024
Offline Reinforcement Learning for Learning to Dispatch for Job Shop Scheduling Jesse van Remmerden Z. Bukhsh Yingqian Zhang OffRL OnRL 50 1 0 16 Sep 2024
Foundations of Multivariate Distributional Reinforcement Learning Harley Wiltzer Jesse Farebrother Arthur Gretton Mark Rowland OffRL 43 2 0 31 Aug 2024
Generative Bayesian Computation for Maximum Expected Utility Nick Polson Fabrizio Ruggeri Vadim Sokolov 31 1 0 28 Aug 2024
Improving Thompson Sampling via Information Relaxation for Budgeted Multi-armed Bandits Woojin Jeong Seungki Min 60 0 0 28 Aug 2024
EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement Learning Parvin Malekzadeh Zissis Poulos Jacky Chen Zeyu Wang Konstantinos N. Plataniotis 36 1 0 22 Aug 2024
Lifelong Reinforcement Learning via Neuromodulation Sebastian Lee Samuel Liebana Garcia Claudia Clopath Will Dabney 49 0 0 15 Aug 2024
Off-Policy Reinforcement Learning with High Dimensional Reward Dong Neuck Lee Michael R. Kosorok OffRL 21 1 0 14 Aug 2024
Robust Deep Reinforcement Learning for Inverter-based Volt-Var Control in Partially Observable Distribution Networks Qiong Liu Ye Guo Tong Xu OffRL 31 0 0 13 Aug 2024
Generalized Gaussian Temporal Difference Error for Uncertainty-aware Reinforcement Learning Seyeon Kim Joonhun Lee Namhoon Cho Sungjun Han Seungeon Baek 52 0 0 05 Aug 2024
Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation Taehyun Cho Seung Han Kyungjae Lee Seokhun Ju Dohyeong Kim Jungwoo Lee 72 0 0 31 Jul 2024
How to Choose a Reinforcement-Learning Algorithm Fabian Bongratz Vladimir Golkov Lukas Mautner Luca Della Libera Frederik Heetmeyer Felix Czaja Julian Rodemann Daniel Cremers 34 1 0 30 Jul 2024
On Policy Evaluation Algorithms in Distributional Reinforcement Learning Julian Gerstenberg Ralph Neininger Denis Spiegel OffRL 23 0 0 19 Jul 2024
PG-Rainbow: Using Distributional Reinforcement Learning in Policy Gradient Methods WooJae Jeon KanJun Lee Jeewoo Lee OffRL 25 0 0 18 Jul 2024
Conditional Quantile Estimation for Uncertain Watch Time in Short-Video Recommendation Chengzhi Lin Shuchang Liu Chuyuan Wang Yongqi Liu 27 4 0 17 Jul 2024
Generalizing soft actor-critic algorithms to discrete action spaces Le Zhang Yong Gu Xin Zhao Yanshuo Zhang Shu Zhao Yifei Jin Xinxin Wu 34 0 0 08 Jul 2024
Model-Free Active Exploration in Reinforcement Learning Alessio Russo Alexandre Proutiere OffRL 23 2 0 30 Jun 2024
PUZZLES: A Benchmark for Neural Algorithmic Reasoning Benjamin Estermann Luca A. Lanzendörfer Yannick Niedermayr Roger Wattenhofer 58 3 0 29 Jun 2024
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo Miguel Vasco Takuma Seno Kenta Kawamoto K. Subramanian Peter R. Wurman Peter Stone 56 6 0 18 Jun 2024
Integrating Domain Knowledge for handling Limited Data in Offline RL Briti Gangopadhyay Zhao Wang Jia-Fong Yeh Shingo Takamatsu OffRL 32 0 0 11 Jun 2024
Simplification of Risk Averse POMDPs with Performance Guarantees Yaacov Pariente Vadim Indelman 32 0 0 05 Jun 2024
Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs Filippo Valdettaro A. Aldo Faisal OffRL 40 0 0 04 Jun 2024
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees Dohyeong Kim Taehyun Cho Seung Han Hojun Chung Kyungjae Lee Songhwai Oh 36 1 0 29 May 2024
Policy Gradient Methods for Risk-Sensitive Distributional Reinforcement Learning with Provable Convergence Minheng Xiao Xian Yu Lei Ying 42 2 0 23 May 2024
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes Kyle Stachowicz Sergey Levine 22 6 0 07 May 2024