icml2020_ipft
Code for the ICML 2020 publication "Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains"
AI summary
Online POMDP solver
An online algorithm for solving partially observable Markov decision processes with continuous state and action spaces
- stars
- 12
- forks
- 4
- watching
- 2
- awesome list
- 1
Similar projects
Found by comparing what the projects do, not just their names.
RL algorithm
An implementation of a reinforcement learning algorithm based on a partially observable Markov decision process for a simple decision task
Machine Learning Algorithm
An implementation of an online federated learning algorithm with multiple kernels for personalized machine learning
Point Cloud Toolbox
Provides C++ libraries and tools for multi primitive-to-primitive point cloud registration and processing pipelines.
DPFL Algorithm
This repository provides an implementation of a differentially private federated learning algorithm designed to improve the robustness and performance of federated machine learning systems.
Machine Learning Protocol Library
An implementation of multi-party machine learning protocols for computations on sparse data
PTL algorithm
An optimized Normal Distributions Transform algorithm for point cloud registration
MPF estimator
This project provides Matlab implementations of Minimum Probability Flow learning for parameter estimation in probabilistic models.
Markov generator
A Crystal library for building and running Markov Chains
Video learning library
Pytorch implementation of unsupervised depth and ego-motion learning from video sequences
Federated learning optimization
An approach to efficient federated learning by progressively training models on client devices with reduced communication and computation requirements.
Optimizer
An optimization algorithm implementation in Matlab.
Federated learner
An implementation of a federated learning algorithm for optimization problems with compositional pairwise risk optimization.
FL algorithm
An algorithm for Federated Learning that handles client subsampling and data heterogeneity with unbounded smoothness
Optimization algorithm
A PyTorch implementation of an optimization algorithm for continuous control and reinforcement learning tasks
Optimization algorithm
An optimizer that automatically tunes momentum and learning rate using local quadratic approximation.
Featured in 1 awesome list
Each link jumps to the spot where the list mentions icml2020_ipft.
