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"

19 / 19 papers shown

Title
CRC-RL: A Novel Visual Feature Representation Architecture for Unsupervised Reinforcement Learning Darshita Jain A. Majumder S. Dutta Swagat Kumar SSL 34 1 0 31 Jan 2023
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review N. Botteghi M. Poel C. Brune SSL OffRL 36 11 0 27 Aug 2022
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization Wenze Chen Shiyu Huang Yuan Chiang Tim Pearce Wei-Wei Tu Tingling Chen Jun Zhu 23 5 0 12 Jul 2022
Acquisition of Chess Knowledge in AlphaZero Thomas McGrath A. Kapishnikov Nenad Tomašev Adam Pearce Demis Hassabis Been Kim Ulrich Paquet Vladimir Kramnik 30 159 0 17 Nov 2021
Towards Learning Controllable Representations of Physical Systems Kevin Haninger R. Vicente-Garcia J. Krüger 31 1 0 16 Nov 2020
Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation B. Chen Alexander Sax Gene Lewis Iro Armeni Silvio Savarese Amir Zamir Jitendra Malik Lerrel Pinto 22 42 0 13 Nov 2020
Explainability in Deep Reinforcement Learning Alexandre Heuillet Fabien Couthouis Natalia Díaz Rodríguez XAI 10 279 0 15 Aug 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 29 22 0 01 Jul 2020
Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control Rika Antonova Maksim Maydanskiy Danica Kragic Sam Devlin Katja Hofmann 12 8 0 15 Jun 2020
DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics Stéphane Doncieux Nicolas Bredèche L. L. Goff Benoît Girard Alexandre Coninx ... Natalia Díaz Rodríguez David Filliat Timothy M. Hospedales A. E. Eiben Richard J. Duro 27 19 0 13 May 2020
Learning to Navigate Using Mid-Level Visual Priors Alexander Sax Jeffrey O. Zhang Bradley Emi Amir Zamir Silvio Savarese Leonidas J. Guibas Jitendra Malik SSL 21 58 0 23 Dec 2019
State Representation Learning from Demonstration Astrid Merckling Michael Pearce Loic Cressot Stéphane Doncieux Matthias Poloczek OffRL 13 8 0 15 Sep 2019
DisCoRL: Continual Reinforcement Learning via Policy Distillation Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Guanghang Cai Natalia Díaz Rodríguez David Filliat OffRL 32 60 0 11 Jul 2019
Supervise Thyself: Examining Self-Supervised Representations in Interactive Environments Evan Racah C. Pal SSL 27 2 0 27 Jun 2019
Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer Kalifou René Traoré Hugo Caselles-Dupré Timothée Lesort Te Sun Natalia Díaz Rodríguez David Filliat CLL OffRL 28 44 0 11 Jun 2019
S-TRIGGER: Continual State Representation Learning via Self-Triggered Generative Replay Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat 19 16 0 25 Feb 2019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics Antonin Raffin Ashley Hill Kalifou René Traoré Timothée Lesort Natalia Díaz Rodríguez David Filliat SSL OffRL 10 56 0 24 Jan 2019
Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies Alexander Sax Bradley Emi Amir Zamir Leonidas J. Guibas Silvio Savarese Jitendra Malik SSL 39 16 0 31 Dec 2018
Continual State Representation Learning for Reinforcement Learning using Generative Replay Hugo Caselles-Dupré Michael Garcia Ortiz David Filliat BDL CLL 26 19 0 09 Oct 2018