Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods

6 November 2021

Papers citing "Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods"

18 / 18 papers shown

Title
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 95 852 0 05 Oct 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs Jianzhun Du Joseph D. Futoma Finale Doshi-Velez 56 51 0 29 Jun 2020
Improving Robustness via Risk Averse Distributional Reinforcement Learning Rahul Singh Qinsheng Zhang Yongxin Chen OOD 47 43 0 01 May 2020
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning Alberto Maria Metelli Flavio Mazzolini L. Bisi Luca Sabbioni Marcello Restelli 30 41 0 17 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 406 42,393 0 03 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 111 1,354 0 03 Dec 2019
Autoregressive Policies for Continuous Control Deep Reinforcement Learning D. Korenkevych A. R. Mahmood Gautham Vasan James Bergstra 56 28 0 27 Mar 2019
Making Deep Q-learning methods robust to time discretization Corentin Tallec Léonard Blier Yann Ollivier OOD OffRL 31 91 0 28 Jan 2019
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov A. Irpan P. Pastor Julian Ibarz Alexander Herzog ... Deirdre Quillen E. Holly Mrinal Kalakrishnan Vincent Vanhoucke Sergey Levine 113 1,460 0 27 Jun 2018
Time Limits in Reinforcement Learning Fabio Pardo Arash Tavakoli Vitaly Levdik Petar Kormushev CLL 73 160 0 01 Dec 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 448 19,006 0 20 Jul 2017
Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates S. Gu E. Holly Timothy Lillicrap Sergey Levine OffRL SSL 114 1,479 0 03 Oct 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 191 8,850 0 04 Feb 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 316 13,234 0 09 Sep 2015
Deep Recurrent Q-Learning for Partially Observable MDPs Matthew J. Hausknecht Peter Stone 104 1,679 0 23 Jul 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 84 3,406 0 08 Jun 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,764 0 19 Feb 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 117 12,223 0 19 Dec 2013