Generalization to New Actions in Reinforcement Learning

Generalization to New Actions in Reinforcement Learning

3 November 2020

Papers citing "Generalization to New Actions in Reinforcement Learning"

11 / 11 papers shown

Title
Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight Annie Xie F. Ebert Sergey Levine Chelsea Finn LM&Ro 37 79 0 11 Apr 2019
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity Deepak Pathak Chris Xiaoxuan Lu Trevor Darrell Phillip Isola Alexei A. Efros 33 132 0 14 Feb 2019
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations Xander Steenbrugge Sam Leroux Tim Verbelen Bart Dhoedt OOD DRL 45 68 0 12 Nov 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 137 597 0 04 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 759 11,793 0 09 Mar 2017
Towards a Neural Statistician Harrison Edwards Amos Storkey BDL 46 428 0 07 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 174 5,056 0 05 Jun 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
Deep Reinforcement Learning in Parameterized Action Space Matthew J. Hausknecht Peter Stone 43 307 0 13 Nov 2015
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 182 12,384 0 24 Jun 2012
Universal Intelligence: A Definition of Machine Intelligence Shane Legg Marcus Hutter 80 640 0 20 Dec 2007