S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State
Representation Learning

S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning

25 September 2018

Kalifou René Traoré

Timothée Lesort

Natalia Díaz Rodríguez

Papers citing "S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning"

16 / 16 papers shown

Title
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 137 281 0 15 Aug 2020
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 321 10,591 0 17 Feb 2020
Decoupling Dynamics and Reward for Transfer Learning Amy Zhang Harsh Satija Joelle Pineau OOD 46 72 0 27 Apr 2018
World Models David R Ha Jürgen Schmidhuber SyDa 113 1,079 0 27 Mar 2018
Simple random search provides a competitive approach to reinforcement learning Horia Mania Aurelia Guy Benjamin Recht 56 315 0 19 Mar 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 63 568 0 26 Feb 2018
State Representation Learning for Control: An Overview Timothée Lesort Natalia Díaz Rodríguez Jean-François Goudou David Filliat OffRL 96 320 0 12 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 281 8,313 0 04 Jan 2018
Unsupervised state representation learning with robotic priors: a robustness benchmark Timothée Lesort Mathieu Seurin Xinrui Li Natalia Díaz Rodríguez David Filliat SSL DRL 92 32 0 15 Sep 2017
PVEs: Position-Velocity Encoders for Unsupervised Learning of Structured State Representations Rico Jonschkowski Roland Hafner Jonathan Scholz Martin Riedmiller 45 67 0 27 May 2017
Curiosity-driven Exploration by Self-supervised Prediction Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell LRM SSL 106 2,433 0 15 May 2017
Loss is its own Reward: Self-Supervision for Reinforcement Learning Evan Shelhamer Parsa Mahmoudieh Max Argus Trevor Darrell SSL 71 186 0 21 Dec 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 60 844 0 24 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Closing the Learning-Planning Loop with Predictive State Representations Byron Boots S. Siddiqi Geoffrey J. Gordon 230 265 0 12 Dec 2009