ResearchTrend.AI
Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments

Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments

Abdus Salam Azad
Edward Kim
M. Wu
Kimin Lee
Ion Stoica
Pieter Abbeel
S. Seshia
ArXivPDFHTML

Papers citing "Scenic4RL: Programmatic Modeling and Generation of Reinforcement Learning Environments"

3 / 3 papers shown
Title
SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models
SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models
Emmanuel Klu
Sameer Sethi
DJ Passey
Donald Martin
AI4CE
SyDa
33
0
0
19 Oct 2023
MuLMINet: Multi-Layer Multi-Input Transformer Network with Weighted Loss
MuLMINet: Multi-Layer Multi-Input Transformer Network with Weighted Loss
Minwoo Seong
Jeongseok Oh
Seungjun Kim
36
0
0
17 Jul 2023
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning
Abdus Salam Azad
Izzeddin Gur
Jasper Emhoff
Nathaniel Alexis
Aleksandra Faust
Pieter Abbeel
Ion Stoica
SSL
29
12
0
19 Oct 2022