Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in
Connected and Automated Hybrid Electric Vehicles

Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles

25 May 2021

Abhishek Gupta

Marcello Canova

Papers citing "Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles"

16 / 16 papers shown

Title
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 549 2,023 0 04 May 2020
Practical Reinforcement Learning For MPC: Learning from sparse objectives in under an hour on a real robot Napat Karnchanachari M. I. Valls David Hoeller Marco Hutter 82 41 0 06 Mar 2020
ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions Brijen Thananjeyan Ashwin Balakrishna Ugo Rosolia Joseph E. Gonzalez Aaron D. Ames Ken Goldberg 62 13 0 03 Mar 2020
Benchmarking Model-Based Reinforcement Learning Tingwu Wang Xuchan Bao I. Clavera Jerrick Hoang Yeming Wen Eric D. Langlois Matthew Shunshi Zhang Guodong Zhang Pieter Abbeel Jimmy Ba OffRL 59 363 0 03 Jul 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 223 1,608 0 07 Dec 2018
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control Kendall Lowrey Aravind Rajeswaran Sham Kakade G. Haro Igor Mordatch OffRL 61 227 0 05 Nov 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 221 1,277 0 30 May 2018
An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Shaojie Bai J. Zico Kolter V. Koltun DRL 86 4,806 0 04 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 169 5,182 0 26 Feb 2018
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning Anusha Nagabandi G. Kahn R. Fearing Sergey Levine 91 973 0 08 Aug 2017
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 200 937 0 07 Jul 2017
WaveNet: A Generative Model for Raw Audio Aaron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alex Graves Nal Kalchbrenner A. Senior Koray Kavukcuoglu DiffM 401 7,391 0 12 Sep 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,755 0 20 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 318 13,237 0 09 Sep 2015
Visualizing and Understanding Recurrent Networks A. Karpathy Justin Johnson Li Fei-Fei HAI 118 1,101 0 05 Jun 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 447 16,940 0 20 Dec 2013

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