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Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
The DESPOT online POMDP solver
Adaptive Attention Span for Reinforcement Learning
Updated
May 11, 2020
Python
Updated
Apr 4, 2022
Python
Efficient Point-Based POMDP Planning by Approximating
Modeling agents with probabilistic programs
Python implementation of POMDP framework and PBVI & POMCP algorithms.
Updated
Aug 12, 2021
Python
Simple (but often Strong) Baselines for POMDPs in PyTorch
Updated
Apr 8, 2022
Python
Solving POMDP using Recurrent networks
Updated
Jun 9, 2020
Jupyter Notebook
Gym-like extensions for POMDP
Updated
Feb 28, 2021
Python
Deep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft
Updated
Apr 12, 2019
Jupyter Notebook
Rich literature review and discussion on the implementation of "Hierarchical Decision-Making for Autonomous Driving"
Implementing a RL algorithm based upon a partially observable Markov decision process.
Updated
Jun 1, 2020
MATLAB
Online Replanning in Belief Space for Partially Observable Task and Motion Problems
Updated
Nov 18, 2021
Python
using recurrent networks(LSTM) to solve POMDPs
Updated
Oct 10, 2018
Python
PBVI C++ Implementation for solving POMDPs
Goal Oriented Dialog System
Updated
May 4, 2017
Python
Non-linear policy graph improvement - planning for Dec-POMDPs
This repository contains the code for RL for POMDPs through learning an Approximate Information State.
Updated
Aug 29, 2021
Python
Pathfinding Using Reinforcement Learning
Updated
May 21, 2019
Python
Task models for human robot collaboration
Updated
Jul 17, 2018
Python
Implementation of point-based value iteration (for POMDPs)
Updated
Mar 31, 2020
Python
Markovian State and Action Abstractions for MDPs via Hierarchical MCTS within a POMDP Formulation
Multi-agent active perception with prediction rewards
MIT Planning Algorithms Class Implementations
Updated
Nov 2, 2016
Python
📦 A library for solving POMDPs
Partially observable markov decision process solver in python
Updated
Dec 21, 2017
Python
POMDP wrappers for OpenAI Gym
Updated
Nov 4, 2019
Python
Matlab Toolbox for epidemic management using partially observable decision process framework for action selection
Updated
Feb 13, 2022
MATLAB
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There are several unused parameter warnings all over the place.
As these parameters mostly exist on purpose (e.g. for function overloading), those warnings can probably be ignored.
Once we are at c++17, we should insert the new attribute
[[maybe_unused]]wherever this is the case.