This repo contains the work done on building the infrared component of our autonomous target detection framework named FALCO at the COHRINT LAB.
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Updated
Feb 22, 2024 - Python
This repo contains the work done on building the infrared component of our autonomous target detection framework named FALCO at the COHRINT LAB.
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.
POMDP for a programs funder and evaluator
Proposing better macro actions set using recurrent neural networks conditioned on encoded environmental contexts
Trained Probabilistic Models for the NAO Robot in a Labyrinth
POMDP planning of collaborative robot tasks in assembly
🌫️ Fog of war chess for ios ⚔️
policy generation using SARSOP, in Machine Learning, MDL | Spring 2021
This project implements several methods for cost sensitive classification, based on a POMDP formalization, and an MDP formalization of the problem
This repo contains the work done on building the rgb component of our autonomous target detection framework named FALCO at the COHRINT LAB.
Code for NeurIPS paper: https://openreview.net/forum?id=5wdvW_hI7bP
CS 238 Final Project: Deep Reinforcement Learning Agents that Run with Scissors
Julia.IPOMDPToolbox package
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