Model-based Reinforcement Learning from Signal Temporal Logic Specifications

10 November 2020

Jyotirmoy V. Deshmukh

Papers citing "Model-based Reinforcement Learning from Signal Temporal Logic Specifications"

22 / 22 papers shown

Title
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning Zijian Guo Weichao Zhou Wenchao Li OffRL 138 2 0 28 Jan 2025
Deep Dynamics Models for Learning Dexterous Manipulation Anusha Nagabandi K. Konolige Sergey Levine Vikash Kumar 216 414 0 25 Sep 2019
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 224 1,277 0 30 May 2018
Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research Matthias Plappert Marcin Andrychowicz Alex Ray Bob McGrew Bowen Baker ... Joshua Tobin Maciek Chociej Peter Welinder Vikash Kumar Wojciech Zaremba 66 569 0 26 Feb 2018
Barrier-Certified Adaptive Reinforcement Learning with Applications to Brushbot Navigation Motoya Ohnishi Li Wang Gennaro Notomista M. Egerstedt 45 69 0 29 Jan 2018
Logically-Constrained Reinforcement Learning Mohammadhosein Hasanbeig Alessandro Abate Daniel Kroening 56 82 0 24 Jan 2018
AI Safety Gridworlds Jan Leike Miljan Martic Victoria Krakovna Pedro A. Ortega Tom Everitt Andrew Lefrancq Laurent Orseau Shane Legg 106 253 0 27 Nov 2017
Safe Learning of Quadrotor Dynamics Using Barrier Certificates Li Wang Evangelos A. Theodorou M. Egerstedt 37 192 0 16 Oct 2017
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
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 493 19,019 0 20 Jul 2017
Safe Model-based Reinforcement Learning with Stability Guarantees Felix Berkenkamp M. Turchetta Angela P. Schoellig Andreas Krause 176 851 0 23 May 2017
Reinforcement Learning With Temporal Logic Rewards Xiao Li C. Vasile C. Belta 63 219 0 11 Dec 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 217 2,384 0 21 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 214 5,076 0 05 Jun 2016
Continuous Deep Q-Learning with Model-based Acceleration S. Gu Timothy Lillicrap Ilya Sutskever Sergey Levine 89 1,013 0 02 Mar 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 197 8,851 0 04 Feb 2016
One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors Justin Fu Sergey Levine Pieter Abbeel OffRL 59 160 0 23 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 318 13,237 0 09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 90 3,406 0 08 Jun 2015
Gaussian Processes for Data-Efficient Learning in Robotics and Control M. Deisenroth Dieter Fox C. Rasmussen 109 693 0 10 Feb 2015
Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints Jie Fu Ufuk Topcu 71 178 0 28 Apr 2014
Natural Evolution Strategies Daan Wierstra Tom Schaul Tobias Glasmachers Yi Sun Jürgen Schmidhuber 73 34 0 22 Jun 2011