Jonathon Schwartz's repositories

NetworkAttackSimulator

An environment for testing AI pentesting agents against a simulated network.

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POMCP-for-beginners

An implementation of the POMCP algorithm in python in the hopes of learning something new.

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ba-posgmcp

Bayes Adaptive Monte-Carlo Planning algorithm for Partially Observable Stochastic Games

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posggym-agents

Agents for POSGGym environments

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potmmcp

Implementation of the Partially Observable Type-based Meta Monte-Carlo Planning (POTMMCP) algorithm and experiments.

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emacs-from-scratch

An example of a fully custom Emacs configuration developed live on YouTube!

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highway-env

A minimalist environment for decision-making in autonomous driving

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me-site

Repo for personal website content

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miniDRL

Minimal implementations of distributed, recurrent, deep reinforcement learning algorithms

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open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

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oppt

On-line POMDP Planning Toolkit

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ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

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RL-an-intro

Implementations of the different Reinforcement Learning problems and agents covered in Richard Sutton and Andrew Barto's book "Reinforcement Learning: An Introduction".

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rlalgs

Implementations of RL algorithms using tensorflow based off of OpenAI spinningup tutorials

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rltorch

Deep RL algorithm implementations using pytorch

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sarsop

Efficient Point-Based POMDP Planning by Approximating

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