Distributional Reinforcement Learning with Quantile Regression

27 October 2017

Papers citing "Distributional Reinforcement Learning with Quantile Regression"

50 / 401 papers shown

Title
Uncertainty-driven Exploration Strategies for Online Grasp Learning Yitian Shi Philipp Schillinger Miroslav Gabriel Alexander Kuss Zohar Feldman Hanna Ziesche Ngo Anh Vien OffRL OnRL 29 4 0 21 Sep 2023
UnifiedGesture: A Unified Gesture Synthesis Model for Multiple Skeletons Sicheng Yang Zehao Wang Zhiyong Wu Minglei Li Zhensong Zhang ... Lei Hao Songcen Xu Xiaofei Wu Changpeng Yang Zonghong Dai DiffM 54 14 0 13 Sep 2023
Extreme Risk Mitigation in Reinforcement Learning using Extreme Value Theory NS KarthikSomayaji Yu Wang M. Schram Ján Drgoňa M. Halappanavar Frank Liu Peng Li 30 1 0 24 Aug 2023
Deep Evidential Learning for Bayesian Quantile Regression F. B. Hüttel Filipe Rodrigues Francisco Câmara Pereira UD EDL BDL UQCV 23 5 0 21 Aug 2023
Quantile-based Maximum Likelihood Training for Outlier Detection Masoud Taghikhah Nishant Kumar Sinisa Segvic Abouzar Eslami Stefan Gumhold 35 3 0 20 Aug 2023
Deep Reinforcement Learning for Artificial Upwelling Energy Management Yiyuan Zhang Wei Fan 20 3 0 20 Aug 2023
Robust Quadrupedal Locomotion via Risk-Averse Policy Learning Jiyuan Shi Chenjia Bai Haoran He Lei Han Dong Wang Bin Zhao Mingguo Zhao Xiuyang Li Xuelong Li OffRL OOD 32 9 0 18 Aug 2023
Value-Distributional Model-Based Reinforcement Learning Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters OffRL 26 4 0 12 Aug 2023
Bag of Policies for Distributional Deep Exploration Asen Nachkov Luchen Li Giulia Luise Filippo Valdettaro Aldo A. Faisal OffRL 43 0 0 03 Aug 2023
Variance Control for Distributional Reinforcement Learning Qi Kuang Zhoufan Zhu Liwen Zhang Fan Zhou OffRL 20 3 0 30 Jul 2023
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient Yudong Luo Guiliang Liu Pascal Poupart Yangchen Pan 43 10 0 17 Jul 2023
Meta-Value Learning: a General Framework for Learning with Learning Awareness Tim Cooijmans Milad Aghajohari Rameswar Panda 27 6 0 17 Jul 2023
Probabilistic Constrained Reinforcement Learning with Formal Interpretability Yanran Wang Qiuchen Qian David E. Boyle 21 4 0 13 Jul 2023
Cramer Type Distances for Learning Gaussian Mixture Models by Gradient Descent Ruichong Zhang 28 0 0 13 Jul 2023
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning Seungyong Moon Junyoung Yeom Bumsoo Park Hyun Oh Song OffRL 29 3 0 07 Jul 2023
The Inner Sentiments of a Thought Christian Gagné Peter Dayan 33 4 0 04 Jul 2023
Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning Tyler Kastner Murat A. Erdogdu Amir-massoud Farahmand OffRL 32 4 0 04 Jul 2023
Is Risk-Sensitive Reinforcement Learning Properly Resolved? Ruiwen Zhou Minghuan Liu Kan Ren Xufang Luo Weinan Zhang Dongsheng Li 27 2 0 02 Jul 2023
Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement Learning Qiang He Dinesh Manocha Meng Fang S. Maghsudi 40 4 0 29 Jun 2023
Recent Advances in Optimal Transport for Machine Learning Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OOD OT 20 32 0 28 Jun 2023
Diverse Projection Ensembles for Distributional Reinforcement Learning Moritz A. Zanger Wendelin Bohmer M. Spaan 38 4 0 12 Jun 2023
PACER: A Fully Push-forward-based Distributional Reinforcement Learning Algorithm Wensong Bai Chao Zhang Yichao Fu Lingwei Peng Hui Qian Bin Dai 32 1 0 11 Jun 2023
On the Importance of Exploration for Generalization in Reinforcement Learning Yiding Jiang J. Zico Kolter Roberta Raileanu UQCV OffRL 36 20 0 08 Jun 2023
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning Wei-Fang Sun Cheng-Kuang Lee Simon See Chun-Yi Lee OffRL 21 1 0 04 Jun 2023
Improving the generalizability and robustness of large-scale traffic signal control Tianyu Shi François-Xavier Devailly Denis Larocque Laurent Charlin OOD OffRL 32 9 0 02 Jun 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo Haque Ishfaq Qingfeng Lan Pan Xu A. R. Mahmood Doina Precup Anima Anandkumar Kamyar Azizzadenesheli BDL OffRL 30 20 0 29 May 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 36 9 0 29 May 2023
The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation Mark Rowland Yunhao Tang Clare Lyle Rémi Munos Marc G. Bellemare Will Dabney 15 10 0 28 May 2023
On the Value of Myopic Behavior in Policy Reuse Kang Xu Chenjia Bai Shuang Qiu Haoran He Bin Zhao Zhen Wang Wei Li Xuelong Li 41 1 0 28 May 2023
Distributional Reinforcement Learning with Dual Expectile-Quantile Regression Sami Jullien Romain Deffayet J. Renders Paul T. Groth Maarten de Rijke OOD 77 1 0 26 May 2023
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning Kaiwen Wang Kevin Zhou Runzhe Wu Nathan Kallus Wen Sun OffRL 34 18 0 25 May 2023
Generative AI for Bayesian Computation Nicholas G. Polson Vadim Sokolov BDL 35 5 0 24 May 2023
ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital Chemistry Chris Beeler Sriram Ganapathi Subramanian Kyle Sprague Nouha Chatti C. Bellinger ... Amanuel Dawit Zihan Yang Xinkai Li Mark Crowley Isaac Tamblyn OffRL 26 6 0 23 May 2023
Testing of Deep Reinforcement Learning Agents with Surrogate Models Matteo Biagiola Paolo Tonella 44 19 0 22 May 2023
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models Wenhao Ding Tong Che Ding Zhao Marco Pavone BDL OffRL 22 2 0 18 May 2023
Social Robot Navigation through Constrained Optimization: a Comparative Study of Uncertainty-based Objectives and Constraints Timur Akhtyamov A. Kashirin A. Postnikov Gonzalo Ferrer 46 5 0 04 May 2023
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options Framework JaeYoon Kim Junyu Xuan Christy Jie Liang F. Hussain 19 1 0 02 May 2023
JaxPruner: A concise library for sparsity research Jooyoung Lee Wonpyo Park Nicole Mitchell Jonathan Pilault J. Obando-Ceron ... Hong-Seok Kim Yann N. Dauphin Karolina Dziugaite Pablo Samuel Castro Utku Evci 48 14 0 27 Apr 2023
One-Step Distributional Reinforcement Learning Mastane Achab Réda Alami Y. A. D. Djilali Kirill Fedyanin Eric Moulines OOD OffRL 33 3 0 27 Apr 2023
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies Philippe Hansen-Estruch Ilya Kostrikov Michael Janner J. Kuba Sergey Levine OffRL 34 130 0 20 Apr 2023
Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment Xi Lin Paul Szenher John D. Martin Brendan Englot 31 2 0 19 Apr 2023
Neuroevolution of Recurrent Architectures on Control Tasks Maximilien Le Clei Pierre C. Bellec 19 4 0 03 Apr 2023
Quantum Deep Hedging El Amine Cherrat S. Raj Iordanis Kerenidis Abhishek Shekhar Ben Wood ... Pierre Minssen Ruslan Shaydulin Yue Sun Romina Yalovetzky Marco Pistoia 31 25 0 29 Mar 2023
Planning with Sequence Models through Iterative Energy Minimization Hongyi Chen Yilun Du Yiye Chen J. Tenenbaum Patricio A. Vela 32 6 0 28 Mar 2023
Policy Evaluation in Distributional LQR Zifan Wang Yulong Gao Si Wang Michael M. Zavlanos Alessandro Abate Karl H. Johansson OffRL 39 3 0 23 Mar 2023
Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games Ziyi Liu Yongchun Fang 22 1 0 14 Mar 2023
Graph Decision Transformer Shengchao Hu Li Shen Ya Zhang Dacheng Tao OffRL 36 15 0 07 Mar 2023
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control Amarildo Likmeta Matteo Sacco Alberto Maria Metelli Marcello Restelli OffRL 26 3 0 04 Mar 2023
Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning Ji-Yun Oh Joonkee Kim Minchan Jeong Se-Young Yun 38 1 0 03 Mar 2023
STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation; Results from the DARPA Subterranean Challenge Anushri Dixit David D. Fan K. Otsu S. Dey Ali-Akbar Agha-Mohammadi J. W. Burdick 32 75 0 02 Mar 2023