Improving Computational Efficiency in Visual Reinforcement Learning via
Stored Embeddings

Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings

4 March 2021

Pieter Abbeel

Papers citing "Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings"

7 / 7 papers shown

Title
Actively Learning Costly Reward Functions for Reinforcement Learning André Eberhard Houssam Metni G. Fahland A. Stroh Pascal Friederich OffRL 23 0 0 23 Nov 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li Jinghuan Shang Srijan Das Michael S. Ryoo SSL 27 31 0 10 Jun 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso M. Sabatelli M. Wiering 39 9 0 28 May 2022
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 29 2 0 06 Oct 2021
Dropout Q-Functions for Doubly Efficient Reinforcement Learning Takuya Hiraoka Takahisa Imagawa Taisei Hashimoto Takashi Onishi Yoshimasa Tsuruoka 11 103 0 05 Oct 2021
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 284 341 0 14 Sep 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 188 1,027 0 06 Mar 2020