CORE-SNU

Pursuing theoretical and algorithmic advances in decision making under uncertainty

Seoul National UniversitySeoul, South Korea

Pinned Repositories

2-DRLP
0 1 00
A-WDRUC
MATLAB implementation of Wassertein Distributionally Robust Unit Commitment with Affine Rule.
1 1 12
AA-FIB
Implementation of AA-FIB
Language:Python0 1 00
AA-POMDP
Implementation of the safeguarded Anderson acceleration for regularized Bellman iterations
Language:Python2 1 00
DR-DDP
Language:Python1 1 00
DR-Risk-Map
Language:MATLAB6 1 10
DR-UT-MPC
Language:Python2 1 00
drlcourse
DRL course materials
Language:Jupyter Notebook1 1 01
MPC-PEARL
Implementation of MPC-PEARL
Language:Python13 1 04
TRMRL
Implementation of Task-Relevant Meta-reinforcement Learning (TRMRL) algorithm
Language:Python1 2 00

CORE-SNU's Repositories

CORE-SNU/MPC-PEARL
Implementation of MPC-PEARL
Language:Python13 1 04
CORE-SNU/DR-Risk-Map
Language:MATLAB6 1 10
CORE-SNU/AA-POMDP
Implementation of the safeguarded Anderson acceleration for regularized Bellman iterations
Language:Python2 1 00
CORE-SNU/DR-UT-MPC
Language:Python2 1 00
CORE-SNU/A-WDRUC
MATLAB implementation of Wassertein Distributionally Robust Unit Commitment with Affine Rule.
1 1 12
CORE-SNU/DR-DDP
Language:Python1 1 00
CORE-SNU/drlcourse
DRL course materials
Language:Jupyter Notebook1 1 01
CORE-SNU/TRMRL
Implementation of Task-Relevant Meta-reinforcement Learning (TRMRL) algorithm
Language:Python1 2 00
CORE-SNU/2-DRLP
0 1 00
CORE-SNU/AA-FIB
Implementation of AA-FIB
Language:Python0 1 00
CORE-SNU/DR-Regret
Language:MATLAB0 1 00
CORE-SNU/G-ODE-NAG
Language:Jupyter Notebook0 0
CORE-SNU/PO-WDRC
Language:Python1
CORE-SNU/Semi-MDP-RL
Implementation of deep reinforcement learning methods for semi-MDP
Language:Python1 01
CORE-SNU/UCB