Pinned Repositories
18337
18.337 - Parallel Computing and Scientific Machine Learning
AI-Toolbox
A C++ framework for MDPs and POMDPs with Python bindings
BenchMARL
A collection of MARL benchmarks based on TorchRL
decision_making_primer
Introduction to sequential decision making under uncertainty as part the course AR0202: Computational Intelligence @ the Faculty of Architecture, TU Delft
GradientPathologiesPINNs
imprl
Inspection and Maintenance Planning using Reinforcement Learning (IMPRL)
jax-imprl
A JAX accelerated version of IMPRL (Inspection and Maintenance Planning with Reinforcement Learning)
masters_thesis
optimality-of-decentralization
Code accompanying the paper "Assessing the Optimality of Decentralized Inspection and Maintenance Policies for Stochastically Degrading Engineering Systems" by Prateek Bhustali and Charalampos Andriotis.
Physics-Informed-Neural-Networks
Investigating PINNs
omniscientoctopus's Repositories
omniscientoctopus/Physics-Informed-Neural-Networks
Investigating PINNs
omniscientoctopus/masters_thesis
omniscientoctopus/GradientPathologiesPINNs
omniscientoctopus/18337
18.337 - Parallel Computing and Scientific Machine Learning
omniscientoctopus/AI-Toolbox
A C++ framework for MDPs and POMDPs with Python bindings
omniscientoctopus/BenchMARL
A collection of MARL benchmarks based on TorchRL
omniscientoctopus/decision_making_primer
Introduction to sequential decision making under uncertainty as part the course AR0202: Computational Intelligence @ the Faculty of Architecture, TU Delft
omniscientoctopus/imprl
Inspection and Maintenance Planning using Reinforcement Learning (IMPRL)
omniscientoctopus/jax-imprl
A JAX accelerated version of IMPRL (Inspection and Maintenance Planning with Reinforcement Learning)
omniscientoctopus/omniscientoctopus.github.io
My personal website.
omniscientoctopus/optimality-of-decentralization
Code accompanying the paper "Assessing the Optimality of Decentralized Inspection and Maintenance Policies for Stochastically Degrading Engineering Systems" by Prateek Bhustali and Charalampos Andriotis.
omniscientoctopus/PINNs
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
omniscientoctopus/resources
omniscientoctopus/svcca
omniscientoctopus/epymarl
An extension of the PyMARL codebase that includes additional algorithms and environment support
omniscientoctopus/python-poetry-template