Pinned Repositories
Coaching
Control
Gaussian-Belief-Propagation-on-Planning
Gaussian Blief Propagation
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
MTT
Implementation of several Bayesian multi-target tracking algorithms, including Poisson multi-Bernoulli mixture filters for sets of targets and sets of trajectories. The repository also includes the GOSPA metric and a metric for sets of trajectories to evaluate performance.
MTT-PIEEE-18
PMBM_Filter
radio_SLAM
RFS_Filters
slam-handbook-public-release
Release repo for our SLAM Handbook
BaiLiping's Repositories
BaiLiping/MTT
Implementation of several Bayesian multi-target tracking algorithms, including Poisson multi-Bernoulli mixture filters for sets of targets and sets of trajectories. The repository also includes the GOSPA metric and a metric for sets of trajectories to evaluate performance.
BaiLiping/BP_SLAM
BaiLiping/gaussianBP.github.io
BaiLiping/MTT-PIEEE-18
BaiLiping/pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
BaiLiping/slam-handbook-public-release
Release repo for our SLAM Handbook
BaiLiping/SLAM_Simulation_Environment
BaiLiping/The-graph-GOSPA-metric
Metric for graphs with different sizes
BaiLiping/BLPtensorforce
Tensorforce: a TensorFlow library for applied reinforcement learning
BaiLiping/CGE
[IROS 2024]: Collaborative graph exploration with reduced pose-SLAM uncertainty via submodular optimization.
BaiLiping/dataset_tools
loader for the generic 4D radar dataset
BaiLiping/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
BaiLiping/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
BaiLiping/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
BaiLiping/Graph-Based_SLAM-Aware_Exploration
[IEEE RA-L 2024]: Graph-based SLAM-Aware Exploration with Prior Topo-Metric Information.
BaiLiping/half-car
Vehicle half-car suspension model animated in matplotlib
BaiLiping/homework
Assignments for CS294-112.
BaiLiping/homework_fall2020
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
BaiLiping/learning-where-to-look
Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information
BaiLiping/MPMC
Message-Passing Monte Carlo (MPMC)
BaiLiping/murty
Python package for Murty's algorithm
BaiLiping/PettingZoo
Gym for multi-agent reinforcement learning
BaiLiping/PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
BaiLiping/PyTorch_YOLOv4
PyTorch implementation of YOLOv4
BaiLiping/radioSLAM.github.io
Channel Charting Website
BaiLiping/readthedocs.org
The source code that powers readthedocs.org
BaiLiping/rl-portfolio-management
Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)
BaiLiping/Stone-Soup
A software project to provide the target tracking community with a framework for the development and testing of tracking algorithms.
BaiLiping/TensorFlowOnSpark
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
BaiLiping/wasp_autonomous_systems
WASP Autonomous Systems Course