A Distributional Perspective on Reinforcement Learning

21 July 2017

Papers citing "A Distributional Perspective on Reinforcement Learning"

50 / 257 papers shown

Title
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 24 17 0 22 Sep 2023
R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics Zexin Li Aritra Samanta Yufei Li Andrea Soltoggio Hyoseung Kim Cong Liu 30 6 0 29 Aug 2023
Deep Reinforcement Learning for Artificial Upwelling Energy Management Yiyuan Zhang Wei Fan 15 3 0 20 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
Probabilistic Constrained Reinforcement Learning with Formal Interpretability Yanran Wang Qiuchen Qian David E. Boyle 16 4 0 13 Jul 2023
Cramer Type Distances for Learning Gaussian Mixture Models by Gradient Descent Ruichong Zhang 28 0 0 13 Jul 2023
Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing Qiulei Wang Lei Yan Gang Hu Wenli Chen Jean Rabault B. R. Noack AI4CE 23 24 0 05 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
Diverse Projection Ensembles for Distributional Reinforcement Learning Moritz A. Zanger Wendelin Bohmer M. Spaan 33 4 0 12 Jun 2023
Finite-Time Analysis of Minimax Q-Learning for Two-Player Zero-Sum Markov Games: Switching System Approach Dong-hwan Lee 21 2 0 09 Jun 2023
Bigger, Better, Faster: Human-level Atari with human-level efficiency Max Schwarzer J. Obando-Ceron Rameswar Panda Marc G. Bellemare Rishabh Agarwal Pablo Samuel Castro OffRL 54 83 0 30 May 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 28 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
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 36 1 0 28 May 2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning Tuomas Haarnoja Ben Moran Guy Lever Sandy H. Huang Dhruva Tirumala ... Andrea Huber N. Hurley F. Nori R. Hadsell N. Heess 50 143 0 26 Apr 2023
Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment Xi Lin Paul Szenher John D. Martin Brendan Englot 26 2 0 19 Apr 2023
Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach Joao P. A. Dantas Marcos R. O. A. Máximo Takashi Yoneyama 32 4 0 19 Apr 2023
Unified Emulation-Simulation Training Environment for Autonomous Cyber Agents Li Li Jean-Pierre S. El Rami Adrian Taylor James Hailing Rao T. Kunz 13 4 0 03 Apr 2023
Feeling Optimistic? Ambiguity Attitudes for Online Decision Making Jared Beard R. Butts Yu Gu 14 0 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 24 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
Minimizing the Outage Probability in a Markov Decision Process Vincent Corlay Jean-Christophe Sibel 14 0 0 28 Feb 2023
Distributional Method for Risk Averse Reinforcement Learning Ziteng Cheng S. Jaimungal Nick G. Martin 24 0 0 27 Feb 2023
Model-Based Uncertainty in Value Functions Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 36 13 0 24 Feb 2023
Distributional Offline Policy Evaluation with Predictive Error Guarantees Runzhe Wu Masatoshi Uehara Wen Sun OffRL 38 13 0 19 Feb 2023
Robot path planning using deep reinforcement learning Miguel Quinones-Ramirez Jorge Ríos-Martínez Víctor Uc Cetina SSL 25 5 0 17 Feb 2023
Distributional GFlowNets with Quantile Flows Dinghuai Zhang L. Pan Ricky T. Q. Chen Aaron Courville Yoshua Bengio 32 25 0 11 Feb 2023
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR Kaiwen Wang Nathan Kallus Wen Sun 107 18 0 07 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
PAC-Bayesian Soft Actor-Critic Learning Bahareh Tasdighi Abdullah Akgul Manuel Haussmann Kenny Kazimirzak Brink M. Kandemir 34 3 0 30 Jan 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning James Queeney M. Benosman OOD OffRL 41 5 0 30 Jan 2023
Sample Efficient Deep Reinforcement Learning via Local Planning Dong Yin S. Thiagarajan N. Lazić Nived Rajaraman Botao Hao Csaba Szepesvári 25 4 0 29 Jan 2023
On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures Xian Yu Lei Ying 21 5 0 26 Jan 2023
Multi-Agent Interplay in a Competitive Survival Environment Andrea Fanti 23 0 0 19 Jan 2023
Risk-Sensitive Policy with Distributional Reinforcement Learning Thibaut Théate D. Ernst OffRL 30 5 0 30 Dec 2022
Learning Physically Realizable Skills for Online Packing of General 3D Shapes Hang Zhao Zherong Pan Yang Yu Kai Xu OffRL 37 14 0 05 Dec 2022
Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes Aviral Kumar Rishabh Agarwal Xinyang Geng George Tucker Sergey Levine OffRL 44 48 0 28 Nov 2022
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability Whiyoung Jung Myungsik Cho Jongeui Park Young-Jin Sung 35 4 0 28 Nov 2022
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning Conor F. Hayes Mathieu Reymond D. Roijers Enda Howley Patrick Mannion 24 4 0 23 Nov 2022
Neural Regression For Scale-Varying Targets Adam Khakhar Jacob Buckman 24 1 0 14 Nov 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges Qi Liu Xueyuan Li Zirui Li Jingda Wu Guodong Du Xinlu Gao Fan Yang Shihua Yuan 49 8 0 06 Nov 2022
Knowing the Past to Predict the Future: Reinforcement Virtual Learning Peng Zhang Yawen Huang Bingzhang Hu Shizheng Wang Haoran Duan Noura Al Moubayed Yefeng Zheng Yang Long OffRL 27 0 0 02 Nov 2022
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds Hao Liang Zhihui Luo 23 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 37 22 0 22 Oct 2022
Probing Transfer in Deep Reinforcement Learning without Task Engineering Andrei A. Rusu Sebastian Flennerhag Dushyant Rao Razvan Pascanu R. Hadsell 34 6 0 22 Oct 2022
Bridging the Gap Between Target Networks and Functional Regularization Alexandre Piché Valentin Thomas Joseph Marino Rafael Pardiñas Gian Maria Marconi C. Pal Mohammad Emtiyaz Khan 14 1 0 21 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 23 5 0 14 Oct 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 43 21 0 04 Oct 2022
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning Manuel Goulão Arlindo L. Oliveira ViT 43 6 0 22 Sep 2022