Distributional Reinforcement Learning with Quantile Regression

27 October 2017

Papers citing "Distributional Reinforcement Learning with Quantile Regression"

50 / 401 papers shown

Title
Resource-Constrained Station-Keeping for Helium Balloons using Reinforcement Learning Jack D. Saunders Loïc Prenevost Özgür Simsek Alan Hunter Wenbin Li 12 1 0 02 Mar 2023
A Survey on Uncertainty Quantification Methods for Deep Learning Wenchong He Zhe Jiang Tingsong Xiao Zelin Xu Yukun Li BDL UQCV AI4CE 19 19 0 26 Feb 2023
Constrained Reinforcement Learning using Distributional Representation for Trustworthy Quadrotor UAV Tracking Control Yanran Wang David E. Boyle 33 8 0 22 Feb 2023
Distributional Offline Policy Evaluation with Predictive Error Guarantees Runzhe Wu Masatoshi Uehara Wen Sun OffRL 38 13 0 19 Feb 2023
Distributional GFlowNets with Quantile Flows Dinghuai Zhang L. Pan Ricky T. Q. Chen Aaron Courville Yoshua Bengio 34 25 0 11 Feb 2023
Distributional constrained reinforcement learning for supply chain optimization J. Berm\údez Antonio del Rio-Chanona Calvin Tsay 26 5 0 03 Feb 2023
Distillation Policy Optimization Jianfei Ma OffRL 26 1 0 01 Feb 2023
Revisiting Bellman Errors for Offline Model Selection Joshua P. Zitovsky Daniel de Marchi Rishabh Agarwal Michael R. Kosorok University of North Carolina at Chapel Hill OffRL 35 5 0 31 Jan 2023
Generalized Munchausen Reinforcement Learning using Tsallis KL Divergence Lingwei Zhu Zheng Chen Takamitsu Matsubara Martha White 14 1 0 27 Jan 2023
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints Dohyeong Kim Kyungjae Lee Songhwai Oh 25 10 0 26 Jan 2023
Quasi-optimal Reinforcement Learning with Continuous Actions Yuhan Li Wenzhuo Zhou Ruoqing Zhu OffRL 32 5 0 21 Jan 2023
An Analysis of Quantile Temporal-Difference Learning Mark Rowland Rémi Munos M. G. Azar Yunhao Tang Georg Ostrovski Anna Harutyunyan K. Tuyls Marc G. Bellemare Will Dabney 24 23 0 11 Jan 2023
Deep Spectral Q-learning with Application to Mobile Health Yuhe Gao C. Shi R. Song 34 0 0 03 Jan 2023
Transformer in Transformer as Backbone for Deep Reinforcement Learning Hangyu Mao Rui Zhao Hao Chen Jianye Hao Yiqun Chen Dong Li Junge Zhang Zhen Xiao OffRL 39 8 0 30 Dec 2022
Invariance to Quantile Selection in Distributional Continuous Control Felix Grün Muhammad Saif-ur-Rehman Tobias Glasmachers Ioannis Iossifidis 23 0 0 29 Dec 2022
Reinforcement Learning in System Identification J. Antonio Martin H Oscar Fernández Sergio Pérez Anas Belfadil C. Ibáñez-Llano Freddy José Perozo Javier Valle Javier Arechalde Pelaz 20 0 0 14 Dec 2022
Confidence-Conditioned Value Functions for Offline Reinforcement Learning Joey Hong Aviral Kumar Sergey Levine OffRL 39 20 0 08 Dec 2022
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation Soysal Degirmenci Chris Jones OffRL 27 1 0 05 Dec 2022
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery Yiqin Yang Haotian Hu Wenzhe Li Siyuan Li Jun Yang Qianchuan Zhao Chongjie Zhang OffRL 28 9 0 02 Dec 2022
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators Jiachen Li Edwin Zhang Ming Yin Qinxun Bai Yu-Xiang Wang William Yang Wang OffRL 39 15 0 29 Nov 2022
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability Whiyoung Jung Myungsik Cho Jongeui Park Young-Jin Sung 38 4 0 28 Nov 2022
Decision-making with Speculative Opponent Models Jing-rong Sun Shuo Chen Cong Zhang Yining Ma Jie Zhang 28 1 0 22 Nov 2022
A Survey on Quantum Reinforcement Learning Nico Meyer Christian Ufrecht Maniraman Periyasamy Daniel D. Scherer Axel Plinge Christopher Mutschler AI4CE LRM 47 54 0 07 Nov 2022
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds Hao Liang Zhihui Luo 28 14 0 25 Oct 2022
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 39 22 0 22 Oct 2022
WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based Environments Xi Chen Tianyuan Shi Qing Zhao Yuchen Sun Yunfei Gao Xiangjun Wang 33 2 0 14 Oct 2022
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning Jifeng Hu Yanchao Sun Hechang Chen Sili Huang Haiyin Piao Yi-Ju Chang Lichao Sun 28 5 0 14 Oct 2022
Regret Bounds for Risk-Sensitive Reinforcement Learning Osbert Bastani Y. Ma E. Shen Wei Xu 44 18 0 11 Oct 2022
Elastic Step DQN: A novel multi-step algorithm to alleviate overestimation in Deep QNetworks Adrian Ly Richard Dazeley Peter Vamplew Francisco Cruz Sunil Aryal 18 8 0 07 Oct 2022
Accelerating Laboratory Automation Through Robot Skill Learning For Sample Scraping Gabriella Pizzuto Hetong Wang Hatem Fakhruldeen Bei Peng K. Luck Andrew I. Cooper 28 2 0 29 Sep 2022
MAN: Multi-Action Networks Learning Keqin Wang Alison Bartsch A. Farimani 21 3 0 19 Sep 2022
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network T. Kanazawa Chetan Gupta UQCV 37 4 0 17 Sep 2022
Optimistic Curiosity Exploration and Conservative Exploitation with Linear Reward Shaping Hao Sun Lei Han Rui Yang Xiaoteng Ma Jian Guo Bolei Zhou OffRL OnRL 45 10 0 15 Sep 2022
Risk-aware linear bandits with convex loss Patrick Saux Odalric-Ambrym Maillard 27 2 0 15 Sep 2022
DEQGAN: Learning the Loss Function for PINNs with Generative Adversarial Networks Blake Bullwinkel Dylan Randle P. Protopapas David Sondak 26 3 0 15 Sep 2022
Cell-Free Latent Go-Explore Quentin Gallouedec Emmanuel Dellandrea 24 1 0 31 Aug 2022
Normality-Guided Distributional Reinforcement Learning for Continuous Control Ju-Seung Byun Andrew Perrault OffRL 16 0 0 28 Aug 2022
Autonomous Unmanned Aerial Vehicle Navigation using Reinforcement Learning: A Systematic Review Fadi AlMahamid Katarina Grolinger 30 73 0 25 Aug 2022
An intelligent algorithmic trading based on a risk-return reinforcement learning algorithm Boyin Jin 24 1 0 23 Aug 2022
A Risk-Sensitive Approach to Policy Optimization Jared Markowitz Ryan W. Gardner Ashley J. Llorens R. Arora I-J. Wang OffRL 34 6 0 19 Aug 2022
A Review of Uncertainty for Deep Reinforcement Learning Owen Lockwood Mei Si 22 38 0 18 Aug 2022
Quantitative Universal Approximation Bounds for Deep Belief Networks J. Sieber Johann Gehringer 30 1 0 18 Aug 2022
Distributional Actor-Critic Ensemble for Uncertainty-Aware Continuous Control T. Kanazawa Haiyan Wang Chetan Gupta UQCV 34 4 0 27 Jul 2022
Explain My Surprise: Learning Efficient Long-Term Memory by Predicting Uncertain Outcomes A. Sorokin N. Buzun Leonid Pugachev Andrey Kravchenko 31 8 0 27 Jul 2022
QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking Yanran Wang James O’Keeffe Qiuchen Qian David E. Boyle 33 8 0 15 Jul 2022
The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning Yunhao Tang Mark Rowland Rémi Munos Bernardo Avila-Pires Will Dabney Marc G. Bellemare OffRL 32 11 0 15 Jul 2022
Deep Hedging: Continuous Reinforcement Learning for Hedging of General Portfolios across Multiple Risk Aversions Phillip Murray Ben Wood Hans Buehler Magnus Wiese Mikko S. Pakkanen 38 19 0 15 Jul 2022
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions Mingyu Kim Ji-Yun Oh Yongsik Lee Joonkee Kim S. Kim Song Chong Se-Young Yun 21 2 0 05 Jul 2022
Risk Perspective Exploration in Distributional Reinforcement Learning Ji-Yun Oh Joonkee Kim Se-Young Yun 14 5 0 28 Jun 2022
Sampling Efficient Deep Reinforcement Learning through Preference-Guided Stochastic Exploration Wenhui Huang Cong Zhang Jingda Wu Xiangkun He Jie Zhang Chengqi Lv 13 8 0 20 Jun 2022