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"

9 / 9 papers shown

Title
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 51 1 0 16 Oct 2023
Actively Learning Costly Reward Functions for Reinforcement Learning André Eberhard Houssam Metni G. Fahland A. Stroh Pascal Friederich OffRL 35 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 49 9 0 28 May 2022
Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation Qingfeng Lan Yangchen Pan Jun Luo A. R. Mahmood OffRL 29 7 0 22 May 2022
On The Transferability of Deep-Q Networks M. Sabatelli Pierre Geurts 37 2 0 06 Oct 2021
Dropout Q-Functions for Doubly Efficient Reinforcement Learning Takuya Hiraoka Takahisa Imagawa Taisei Hashimoto Takashi Onishi Yoshimasa Tsuruoka 11 105 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 191 1,027 0 06 Mar 2020