The goal of the project is to make a robot plan its path from a source to the destination and reach the destination only by evidence and its previous transition.
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Updated
Apr 27, 2016 - Python
The goal of the project is to make a robot plan its path from a source to the destination and reach the destination only by evidence and its previous transition.
MIT Planning Algorithms Class Implementations
Goal Oriented Dialog System
An implementation of the CORPP algorithm, described in a paper by Shiqi Zhang and Peter Stone
Partially observable markov decision process solver in python
Task models for human robot collaboration
Pathfinding Using Reinforcement Learning
POMDP wrappers for OpenAI Gym
Implementation of point-based value iteration (for POMDPs)
TLDR: Generic Algorithms, Decision Trees, Value Iteration, POMDPs, Bias-Variance. Data preprocessing using statistical techniques and visualization is crucial to understand and analyze the data before utilizing them to train a machine learning model. Several fundamental techniques for preprocessing are presented here.
Adaptive Attention Span for Reinforcement Learning
QMDP Net fork (python 3 compatible)
policy generation using SARSOP, in Machine Learning, MDL | Spring 2021
Python implementation of POMDP framework and PBVI & POMCP algorithms.
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