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active-expansion-sampling

Experiment code associated with our paper: "Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space"

active-learning

andes

Python toolbox / library for power system transient dynamics simulation with symbolic modeling and numerical analysis 🔥

asnets

Source for Action Schema Networks paper (AAAI'18)

awesome-safety-critical

List of resources about programming practices for writing safety-critical software.

batchbald

Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

bcq

Author's PyTorch implementation of BCQ for continuous and discrete actions

benchmarking-gnns

Repository for benchmarking graph neural networks

bgadl

Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).

cartpole

OpenAI's cartpole env solver.

cartpole-1

Tensorflow implementation of DQN to control cart-pole from OpenAI gym environment

cbf-clf-helper

Matlab Interface for Control Barrier Function (CBF) and Control Lyapunov Function (CLF) based control methods.

co-ml-papers

The repository archives papers regarding the combination of combinatorial optimization and machine learning and corresponding reading notes.

coco

compile

CompILE: Compositional Imitation Learning and Execution (ICML 2019)

cookiecutter-cpp

A test-driven C++ project template built on CMake and GoogleTest

cpo

Constrained Policy Optimization

cpsid

Code for Data driven discovery of cyber physical systems

cs294-112_hws

My solution to assignments in UC Berkeley CS294-112: Deep Reinforcement Learning

cvxpy

A Python-embedded modeling language for convex optimization problems.

dart

deep-active-learning

Deep Active Learning

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

design_embeddings_jmd_2016

Experiment code associated with our JMD paper: "Design Manifolds Capture the Intrinsic Complexity and Dimension of Design Spaces"

dgn

DGN Code

discriminativeactivelearning

Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:

domain_expansion_jmd_2017

Experiment code associated with our JMD paper: "Beyond the Known: Detecting Novel Feasible Domains over an Unbounded Design Space"

dqfd

An implement of DQfD（Deep Q-learning from Demonstrations) raised by DeepMind:Learning from Demonstrations for Real World Reinforcement Learning

dril

Disagreement-Regularized Imitation Learning

efficient_nonmyopic_active_search

Code for three papers on active search published at ICML2017, NeurIPS2018, NeurIPS2019