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DEAR: Disentangled Environment and Agent Representations for
  Reinforcement Learning without Reconstruction

DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction

30 June 2024
Ameya Pore
Riccardo Muradore
Diego DallÁlba
    DRL
ArXivPDFHTML

Papers citing "DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction"

2 / 2 papers shown
Title
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation
S. Batra
Gaurav Sukhatme
OffRL
DRL
21
1
0
09 Oct 2024
The Distracting Control Suite -- A Challenging Benchmark for
  Reinforcement Learning from Pixels
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels
Austin Stone
Oscar Ramirez
K. Konolige
Rico Jonschkowski
127
101
0
07 Jan 2021
1