Discrete Sequential Prediction of Continuous Actions for Deep RL

14 May 2017

Papers citing "Discrete Sequential Prediction of Continuous Actions for Deep RL"

29 / 29 papers shown

Title
CANVAS: Commonsense-Aware Navigation System for Intuitive Human-Robot Interaction Suhwan Choi Yongjun Cho Minchan Kim Jaeyoon Jung Myunchul Joe ... Sungwoong Kim Sungjae Lee Hwiseong Park Jiwan Chung Youngjae Yu 45 0 0 02 Oct 2024
Model Adaptation for Time Constrained Embodied Control Jaehyun Song Minjong Yoo Honguk Woo 42 0 0 17 Jun 2024
DittoGym: Learning to Control Soft Shape-Shifting Robots Suning Huang Boyuan Chen Huazhe Xu Vincent Sitzmann 42 3 0 24 Jan 2024
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare Shengpu Tang Maggie Makar Michael Sjoding Finale Doshi-Velez Jenna Wiens OffRL 50 37 0 02 May 2023
QDP: Learning to Sequentially Optimise Quasi-Static and Dynamic Manipulation Primitives for Robotic Cloth Manipulation David Blanco Mulero G. Alcan Fares J. Abu-Dakka Ville Kyrki 35 9 0 23 Mar 2023
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 35 22 0 22 Oct 2022
MAN: Multi-Action Networks Learning Keqin Wang Alison Bartsch A. Farimani 16 3 0 19 Sep 2022
A further exploration of deep Multi-Agent Reinforcement Learning with Hybrid Action Space Hongzhi Hua Guixuan Wen Kaigui Wu 27 1 0 30 Aug 2022
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
Soft Actor-Critic With Integer Actions Ting-Han Fan Yubo Wang 28 12 0 17 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
Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning Stephen Kelly Tatiana Voegerl W. Banzhaf C. Gondro 45 13 0 23 Jun 2021
Monte-Carlo Tree Search as Regularized Policy Optimization Jean-Bastien Grill Florent Altché Yunhao Tang Thomas Hubert Michal Valko Ioannis Antonoglou Rémi Munos 19 73 0 24 Jul 2020
Q-Learning in enormous action spaces via amortized approximate maximization T. Wiele David Warde-Farley A. Mnih Volodymyr Mnih 21 59 0 22 Jan 2020
Discrete and Continuous Action Representation for Practical RL in Video Games Olivier Delalleau Maxim Peter Eloi Alonso Adrien Logut 17 52 0 23 Dec 2019
RecSim: A Configurable Simulation Platform for Recommender Systems Eugene Ie Chih-Wei Hsu Martin Mladenov Vihan Jain Sanmit Narvekar Jing Wang Rui Wu Craig Boutilier 19 177 0 11 Sep 2019
Autoregressive Policies for Continuous Control Deep Reinforcement Learning D. Korenkevych A. R. Mahmood G. Vasan James Bergstra 19 28 0 27 Mar 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 26 117 0 29 Jan 2019
A Robotic Auto-Focus System based on Deep Reinforcement Learning Xiaofan Yu Runze Yu Jingsong Yang Xiaohui Duan 16 9 0 05 Sep 2018
Efficient Entropy for Policy Gradient with Multidimensional Action Space Yiming Zhang Q. Vuong Kenny Song Xiao-Yue Gong Keith Ross 25 16 0 02 Jun 2018
Temporal Difference Models: Model-Free Deep RL for Model-Based Control Vitchyr H. Pong S. Gu Murtaza Dalal Sergey Levine OffRL 66 237 0 25 Feb 2018
Action Branching Architectures for Deep Reinforcement Learning Arash Tavakoli Fabio Pardo Petar Kormushev 14 256 0 24 Nov 2017
Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning Benjamin Eysenbach S. Gu Julian Ibarz Sergey Levine CLL 37 137 0 18 Nov 2017
A Brief Survey of Deep Reinforcement Learning Kai Arulkumaran M. Deisenroth Miles Brundage Anil Anthony Bharath OffRL 35 2,774 0 19 Aug 2017
Hindsight Experience Replay Marcin Andrychowicz Dwight Crow Alex Ray Jonas Schneider Rachel Fong Peter Welinder Bob McGrew Joshua Tobin Pieter Abbeel Wojciech Zaremba OffRL 16 2,291 0 05 Jul 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,329 0 05 Nov 2016
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 187 599 0 22 Sep 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 248 2,550 0 25 Jan 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 181 1,185 0 30 Nov 2014