Efficient RL via Disentangled Environment and Agent Representations

5 September 2023

Papers citing "Efficient RL via Disentangled Environment and Agent Representations"

6 / 6 papers shown

Title
DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction Ameya Pore Riccardo Muradore Diego DallÁlba DRL 29 1 0 30 Jun 2024
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels Dan Haramati Tal Daniel Aviv Tamar LM&Ro OffRL OCL 34 10 0 01 Apr 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration Yibo Wang Jiang Zhao OffRL OnRL 25 0 0 31 Mar 2024
Real-World Robot Learning with Masked Visual Pre-training Ilija Radosavovic Tete Xiao Stephen James Pieter Abbeel Jitendra Malik Trevor Darrell SSL 156 239 0 06 Oct 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels Austin Stone Oscar Ramirez K. Konolige Rico Jonschkowski 131 101 0 07 Jan 2021