LAIRLAB
Software repository of the Learning, Artificial Intelligence, and Robotics Laboratory (LAIRLab) at Carnegie Mellon led by Drew Bagnell
The Robotics Institute, Carnegie Mellon University, Pittsburgh, USA
Pinned Repositories
ARS-experiments
contrasting_exploration_rl
control_simulators
C++ control simulators featuring a Python interface and an easily extendable framework for the implementation of new systems
DaD
Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. dynamical system) model.
DifferentiableAggrevate
libpyarr
C++ interface to numpy arrays, as well as Boost.Python utilities
qr_trees
Quadratic Regulators (iLQR/LQR) on Probabilistic Branching Trees.
vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
LAIRLAB's Repositories
LAIRLAB/qr_trees
Quadratic Regulators (iLQR/LQR) on Probabilistic Branching Trees.
LAIRLAB/ARS-experiments
LAIRLAB/vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
LAIRLAB/contrasting_exploration_rl
LAIRLAB/libpyarr
C++ interface to numpy arrays, as well as Boost.Python utilities
LAIRLAB/control_simulators
C++ control simulators featuring a Python interface and an easily extendable framework for the implementation of new systems
LAIRLAB/DaD
Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. dynamical system) model.
LAIRLAB/DifferentiableAggrevate