Continuous Control with Action Quantization from Demonstrations

19 October 2021

Sertan Girgin

Olivier Pietquin

Papers citing "Continuous Control with Action Quantization from Demonstrations"

50 / 52 papers shown

Title
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies Tim Seyde Igor Gilitschenski Wilko Schwarting Bartolomeo Stellato Martin Riedmiller Markus Wulfmeier Daniela Rus 50 44 0 03 Nov 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 251 874 0 12 Oct 2021
Implicit Behavioral Cloning Peter R. Florence Corey Lynch Andy Zeng Oscar Ramirez Ayzaan Wahid Laura Downs Adrian S. Wong Johnny Lee Igor Mordatch Jonathan Tompson OffRL 91 378 0 01 Sep 2021
Implicitly Regularized RL with Implicit Q-Values Nino Vieillard Marcin Andrychowicz Anton Raichuk Olivier Pietquin Matthieu Geist OffRL 42 9 0 16 Aug 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar Danfei Xu J. Wong Soroush Nasiriany Chen Wang Rohun Kulkarni Li Fei-Fei Silvio Savarese Yuke Zhu Roberto Martín-Martín OffRL 232 491 0 06 Aug 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 101 804 0 12 Jun 2021
What Matters for Adversarial Imitation Learning? Manu Orsini Anton Raichuk Léonard Hussenot Damien Vincent Robert Dadashi Sertan Girgin Matthieu Geist Olivier Bachem Olivier Pietquin Marcin Andrychowicz 74 77 0 01 Jun 2021
Hyperparameter Selection for Imitation Learning Léonard Hussenot Marcin Andrychowicz Damien Vincent Robert Dadashi Anton Raichuk ... Sabela Ramos Manu Orsini Olivier Bachem Matthieu Geist Olivier Pietquin 67 18 0 25 May 2021
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning Avi Singh Huihan Liu G. Zhou Albert Yu Nicholas Rhinehart Sergey Levine OffRL OnRL 46 140 0 19 Nov 2020
Learning to Represent Action Values as a Hypergraph on the Action Vertices Arash Tavakoli Mehdi Fatemi Petar Kormushev 36 23 0 28 Oct 2020
Munchausen Reinforcement Learning Nino Vieillard Olivier Pietquin Matthieu Geist OffRL 22 90 0 28 Jul 2020
Strictly Batch Imitation Learning by Energy-based Distribution Matching Daniel Jarrett Ioana Bica M. Schaar OffRL 28 62 0 25 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 104 1,780 0 08 Jun 2020
Primal Wasserstein Imitation Learning Robert Dadashi Léonard Hussenot Matthieu Geist Olivier Pietquin 35 124 0 08 Jun 2020
Acme: A Research Framework for Distributed Reinforcement Learning Matthew W. Hoffman Bobak Shahriari John Aslanides Gabriel Barth-Maron Nikola Momchev ... Srivatsan Srinivasan A. Cowie Ziyun Wang Bilal Piot Nando de Freitas 102 225 0 01 Jun 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 477 1,994 0 04 May 2020
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics Michael Neunert A. Abdolmaleki Markus Wulfmeier Thomas Lampe Jost Tobias Springenberg Roland Hafner Francesco Romano J. Buchli N. Heess Martin Riedmiller 50 91 0 02 Jan 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 94 1,811 0 13 Dec 2019
Behavior Regularized Offline Reinforcement Learning Yifan Wu George Tucker Ofir Nachum OffRL 68 678 0 26 Nov 2019
A Divergence Minimization Perspective on Imitation Learning Methods Seyed Kamyar Seyed Ghasemipour R. Zemel S. Gu 51 248 0 06 Nov 2019
Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning Abhishek Gupta Vikash Kumar Corey Lynch Sergey Levine Karol Hausman 52 429 0 25 Oct 2019
CAQL: Continuous Action Q-Learning Moonkyung Ryu Yinlam Chow Ross Anderson Christian Tjandraatmadja Craig Boutilier 215 42 0 26 Sep 2019
Goal-conditioned Imitation Learning Yiming Ding Carlos Florensa Mariano Phielipp Pieter Abbeel 47 221 0 13 Jun 2019
Distributional Policy Optimization: An Alternative Approach for Continuous Control Chen Tessler Guy Tennenholtz Shie Mannor OffRL 32 44 0 23 May 2019
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation Ruohan Wang C. Ciliberto P. Amadori Y. Demiris 41 62 0 16 May 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 56 28 0 25 Mar 2019
Learning Latent Plans from Play Corey Lynch Mohi Khansari Ted Xiao Vikash Kumar Jonathan Tompson Sergey Levine P. Sermanet SSL LM&Ro 71 396 0 05 Mar 2019
Discretizing Continuous Action Space for On-Policy Optimization Yunhao Tang Shipra Agrawal OffRL 55 119 0 29 Jan 2019
Soft Actor-Critic Algorithms and Applications Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha ... Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel Sergey Levine 105 2,391 0 13 Dec 2018
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning Ilya Kostrikov Kumar Krishna Agrawal Debidatta Dwibedi Sergey Levine Jonathan Tompson 71 257 0 09 Sep 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 86 1,865 0 01 Aug 2018
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 98 1,454 0 27 Jun 2018
Hierarchical Imitation and Reinforcement Learning Hoang Minh Le Nan Jiang Alekh Agarwal Miroslav Dudík Yisong Yue Hal Daumé 40 191 0 01 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 157 5,121 0 26 Feb 2018
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning Tianhe Yu Chelsea Finn Annie Xie Sudeep Dasari Tianhao Zhang Pieter Abbeel Sergey Levine 47 359 0 05 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 227 8,236 0 04 Jan 2018
Action Branching Architectures for Deep Reinforcement Learning Arash Tavakoli Fabio Pardo Petar Kormushev 39 260 0 24 Nov 2017
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations S. Krishnan Roy Fox Ion Stoica Ken Goldberg 53 82 0 15 Oct 2017
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations Aravind Rajeswaran Vikash Kumar Abhishek Gupta Giulia Vezzani John Schulman E. Todorov Sergey Levine 109 1,079 0 28 Sep 2017
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards Matej Vecerík Todd Hester Jonathan Scholz Fumin Wang Olivier Pietquin Bilal Piot N. Heess Thomas Rothörl Thomas Lampe Martin Riedmiller OffRL 57 661 0 27 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 241 18,685 0 20 Jul 2017
Discrete Sequential Prediction of Continuous Actions for Deep RL Luke Metz Julian Ibarz Navdeep Jaitly James Davidson BDL OffRL 57 118 0 14 May 2017
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning Haoran Tang Rein Houthooft Davis Foote Adam Stooke Xi Chen Yan Duan John Schulman F. Turck Pieter Abbeel OffRL 84 764 0 15 Nov 2016
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 262 611 0 22 Sep 2016
Generative Adversarial Imitation Learning Jonathan Ho Stefano Ermon GAN 114 3,089 0 10 Jun 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 62 1,010 0 02 Mar 2016
Deep Reinforcement Learning in Large Discrete Action Spaces Gabriel Dulac-Arnold Richard Evans H. V. Hasselt P. Sunehag Timothy Lillicrap Jonathan J. Hunt Timothy A. Mann T. Weber T. Degris Ben Coppin OffRL 52 573 0 24 Dec 2015
Prioritized Experience Replay Tom Schaul John Quan Ioannis Antonoglou David Silver OffRL 198 3,781 0 18 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 134 7,590 0 22 Sep 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 207 13,174 0 09 Sep 2015