Continuous Deep Q-Learning with Model-based Acceleration

2 March 2016

Papers citing "Continuous Deep Q-Learning with Model-based Acceleration"

50 / 170 papers shown

Title
Look Before Leap: Look-Ahead Planning with Uncertainty in Reinforcement Learning Yongshuai Liu Xin Liu 93 1 0 26 Mar 2025
Is Bellman Equation Enough for Learning Control? Haoxiang You Lekan Molu Ian Abraham 68 0 0 04 Mar 2025
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning Patrick Yin Tyler Westenbroek Simran Bagaria Kevin Huang Ching-an Cheng Andrey Kobolov Abhishek Gupta 80 2 0 04 Feb 2025
Prioritized Generative Replay Renhao Wang Kevin Frans Pieter Abbeel Sergey Levine Alexei A. Efros OnRL DiffM 116 2 0 23 Oct 2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 42 0 0 07 Oct 2024
Online Control-Informed Learning Zihao Liang Tianyu Zhou Zehui Lu Shaoshuai Mou 33 1 0 04 Oct 2024
q-exponential family for policy optimization Lingwei Zhu Haseeb Shah Han Wang Yukie Nagai Martha White OffRL 78 0 0 14 Aug 2024
Parallel Distributional Deep Reinforcement Learning for Mapless Navigation of Terrestrial Mobile Robots V. A. Kich A. H. Kolling J. C. Jesus Gabriel V. Heisler Hiago Jacobs ... André da Silva Kelbouscas Akihisa Ohya Ricardo B. Grando Paulo Lilles Jorge Drews-Jr D. T. Gamarra 35 3 0 11 Aug 2024
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption Bernd Frauenknecht Artur Eisele Devdutt Subhasish Friedrich Solowjow Sebastian Trimpe 49 5 0 29 May 2024
A Survey on Vision-Language-Action Models for Embodied AI Yueen Ma Zixing Song Yuzheng Zhuang Jianye Hao Irwin King LM&Ro 82 45 0 23 May 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 29 6 0 22 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi AI4CE 50 6 0 09 Apr 2024
Monotone, Bi-Lipschitz, and Polyak-Lojasiewicz Networks Ruigang Wang Krishnamurthy Dvijotham I. Manchester 36 5 0 02 Feb 2024
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles Ruoqi Wen Jiahao Huang Rongpeng Li Guoru Ding Zhifeng Zhao 37 1 0 21 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 36 8 0 15 Dec 2023
A Q-learning approach to the continuous control problem of robot inverted pendulum balancing Mohammad Safeea Pedro Neto 20 7 0 05 Dec 2023
Active Control of Flow over Rotating Cylinder by Multiple Jets using Deep Reinforcement Learning Kamyar Dobakhti J. Ghazanfarian AI4CE 29 0 0 22 Jul 2023
Deep Deterministic Policy Gradient for End-to-End Communication Systems without Prior Channel Knowledge Bolun Zhang Nguyen Van Huynh 30 4 0 12 May 2023
A Review of Symbolic, Subsymbolic and Hybrid Methods for Sequential Decision Making Carlos Núnez-Molina Pablo Mesejo Juan Fernández-Olivares 30 3 0 20 Apr 2023
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer Allen Z. Ren Hongkai Dai Benjamin Burchfiel Anirudha Majumdar 27 14 0 09 Feb 2023
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off Zichen Zhang Johannes Kirschner Junxi Zhang Francesco Zanini Alex Ayoub Masood Dehghan Dale Schuurmans OffRL 24 3 0 17 Dec 2022
On-device Training: A First Overview on Existing Systems Shuai Zhu Thiemo Voigt Jeonggil Ko Fatemeh Rahimian 34 14 0 01 Dec 2022
CACTO: Continuous Actor-Critic with Trajectory Optimization -- Towards global optimality Gianluigi Grandesso Elisa Alboni G. P. R. Papini Patrick M. Wensing Andrea Del Prete 30 15 0 12 Nov 2022
Progress and summary of reinforcement learning on energy management of MPS-EV Jincheng Hu Yang Lin Liang Chu Zhuoran Hou Jihan Li Jingjing Jiang Yuanjian Zhang 23 12 0 08 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
A Survey on Reinforcement Learning in Aviation Applications Pouria Razzaghi Amin Tabrizian Wei Guo Shulu Chen Abenezer Taye Ellis E. Thompson Alexis Bregeon Ali Baheri Peng Wei OffRL 23 52 0 03 Nov 2022
Improving aircraft performance using machine learning: a review S. L. Clainche E. Ferrer Sam Gibson Elisabeth Cross A. Parente Ricardo Vinuesa AI4CE 36 93 0 20 Oct 2022
Hierarchical reinforcement learning for in-hand robotic manipulation using Davenport chained rotations Francisco Roldan Sanchez Qiang-qiang Wang David Córdova Bulens Kevin McGuinness Stephen J. Redmond Noel E. O'Connor 18 1 0 03 Oct 2022
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter Ruben Villarreal Nikolaos N. Vlassis Nhon N. Phan Tommie A. Catanach Reese E. Jones N. Trask S. Kramer WaiChing Sun OffRL 30 11 0 27 Sep 2022
Model-Free Reinforcement Learning for Asset Allocation Adebayo Oshingbesan Eniola Ajiboye Peruth Kamashazi Timothy Mbaka OffRL 19 1 0 21 Sep 2022
q-Learning in Continuous Time Yanwei Jia X. Zhou OffRL 51 69 0 02 Jul 2022
Action-modulated midbrain dopamine activity arises from distributed control policies Jack W Lindsey Ashok Litwin-Kumar MLAU 21 11 0 01 Jul 2022
Incorporating Voice Instructions in Model-Based Reinforcement Learning for Self-Driving Cars Mingze Wang Ziyang Zhang Grace Hui Yang 29 1 0 21 Jun 2022
An Experimental Comparison Between Temporal Difference and Residual Gradient with Neural Network Approximation Shuyu Yin Tao Luo Peilin Liu Z. Xu 18 2 0 25 May 2022
Gradient-Based Trajectory Optimization With Learned Dynamics Bhavya Sukhija Nathanael Kohler Miguel Zamora Simon Zimmermann Sebastian Curi Andreas Krause Stelian Coros 30 9 0 09 Apr 2022
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming Supriyo Ghosh L. Wynter Shiau Hong Lim D. Nguyen 34 0 0 27 Feb 2022
A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization Pamul Yadav Ashutosh Mishra Junyong Lee Shiho Kim OffRL AI4CE 21 10 0 17 Feb 2022
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error Scott Fujimoto D. Meger Doina Precup Ofir Nachum S. Gu 30 32 0 28 Jan 2022
Can Wikipedia Help Offline Reinforcement Learning? Machel Reid Yutaro Yamada S. Gu 3DV RALM OffRL 140 95 0 28 Jan 2022
Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients Jiafei Lyu Yu Yang Jiangpeng Yan Xiu Li OffRL AI4CE 39 5 0 21 Dec 2021
Recent Advances in Reinforcement Learning in Finance B. Hambly Renyuan Xu Huining Yang OffRL 29 167 0 08 Dec 2021
Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching Shengheng Liu Chong Zheng Yongming Huang Tony Q.S. Quek 16 60 0 20 Oct 2021
Continuous Control with Action Quantization from Demonstrations Robert Dadashi Léonard Hussenot Damien Vincent Sertan Girgin Anton Raichuk M. Geist Olivier Pietquin OffRL 33 23 0 19 Oct 2021
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks Robert McCarthy Qiang Wang S. Redmond OffRL 27 15 0 05 Oct 2021
Continuous-Time Fitted Value Iteration for Robust Policies M. Lutter Boris Belousov Shie Mannor Dieter Fox Animesh Garg Jan Peters 10 9 0 05 Oct 2021
Deep Reinforcement Learning with Adjustments H. Khorasgani Haiyan Wang Chetan Gupta Susumu Serita 20 2 0 28 Sep 2021
Runtime Safety Assurance for Learning-enabled Control of Autonomous Driving Vehicles Shengduo Chen Yao Sun Dachuan Li Qiang Wang Qi Hao J. Sifakis 57 15 0 28 Sep 2021
Implicitly Regularized RL with Implicit Q-Values Nino Vieillard Marcin Andrychowicz Anton Raichuk Olivier Pietquin M. Geist OffRL 24 9 0 16 Aug 2021
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences Alan Chan Hugo Silva Sungsu Lim Tadashi Kozuno A. R. Mahmood Martha White 25 29 0 17 Jul 2021
Species Distribution Modeling for Machine Learning Practitioners: A Review Sara Beery Elijah Cole Joseph Parker Pietro Perona Kevin Winner 21 69 0 03 Jul 2021