Stanford Intelligent Systems Laboratory's repositories
SceneInformer
This is the official implementation of the paper "Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments" by Bernard Lange, Jiachen Li, and Mykel J. Kochenderfer.
AA222Project2
Starter code for Project 2 of Stanford AA222/CS361 (Engineering Design Optimization) Spring 2020
AA222Project1
Starter code for Project 1 of Stanford AA222/CS361 (Engineering Design Optimization)
AA222Project0
Starter code for Project 0 of Stanford AA222/CS361 (Engineering Design Optimization)
BetaZero.jl
Belief-state planning for POMDPs using learned approximations
POMDPModelChecking.jl
Perform Model Checking and POMDP Planning from LTL specifications using POMDPs.jl
WildcardArrays.jl
Compact representations of multidimensional arrays
DiFS
Diffusion-based Failure Sampling
InteractionImitation
Imitation Learning with the INTERACTION Dataset
ConstructionBots.jl
An open-source multi-robot manufacturing simulator designed to test algorithms for multi-robot assembly planning.
sislstrings.bib
Bibtex string constants for common references
BayesNets.jl
Bayesian Networks for Julia
LocalFunctionApproximation.jl
Scalar-valued local function approximation across a real-valued vector space
pygments-style-algfordm
Pygments style used in the textbook Algorithms for Decision Making
ExprRules.jl
Functions for declaring and working with grammars and expression trees in Julia.
action_suggestions
A method of collaborative decision making using action suggestions by using the agent's policy to estimate the distribution over suggestions and treating a suggested action as an observation of the environment to update the agent's belief.
DensityIntegrator.jl
Construct prediction sets with known probability mass for arbitrary (moderately) high-dimensional probability density functions.
POMDPStressTesting.jl
Adaptive stress testing of black-box systems within POMDPs.jl
BackwardMCTS
Perform a Monte Carlo tree search (MCTS) backward in time.