Implementation and visualization (some demos) of search and optimization algorithms.
Model-based reinforcement learning using CEM, MPC and PETS
Efficient Model-Based Deep Reinforcement Learning with Predictive Control: Developed a Model-Based RL algorithm using MPC, achieving convergence in 200 episodes (best case) and 1000 episodes on average, outperforming SAC/DQN (10,000+ episodes). Enhanced sample efficiency by 80-90% using learned dynamics and CEM for trajectory optimization.
Cross Entropy Method (CEM) implemented under Pytorch, supporting batch dimension and receding horizon style optimization.
CE-ABC is a code to simulate the epidemic outbreaks with mechanistic models through a cross-entropy approximate Bayesian framework.
CEopt is a Matlab routine for non-convex optimization using the Cross-Entropy method and augmented Lagrangian formulation.
Solving Tetris using Cross-Entropy Method
Reinforcement Learning Notebooks
Model-Based RL Multi-Tasking with ReLAx
Library implementations of the Scenario-based Model Predictive Control Algorithm (SB-MPC) and its probabilistic variant (PSB-MPC). Developed as part of the NTNU Centre for Autonomous Marine Operations and Systems (AMOS). Open sourced in November 2025.
Simulation experiments for optimizing objective function with Differential Evolution, Evolution Strategies and Cross Entropy Method (2 versions)
Tools for using motion primitives like Dynamic Motion Primitives or Differentiable Linear Dynamic Systems in PyTorch.
Simple implementation and comparison of three reinforcement learning models.
Train a Cross-Entropy Method in Policy-Based Methods with OpenAI Gtm's MountainCarContinous environment
Two dimensional optimisation algorithm using the Cross Entropy Method. Data is iteratively fitted to a Beta Distribution in the algorithm.
CROSS-OPT is a Matlab package for optimizing truss structures with the Cross-Entropy method and augmented Lagrangian formulation.
SpringpotTune is a Matlab package designed for fitting variable-order springpot models using the Cross-Entropy method.
Fifth assignment for Machine Learning course @USI19/20.
FraCTune is a Matlab package for tuning fractional-order controllers with the Cross-Entropy method and augmented Lagrangian formulation.
Cross-Entropy method example on OpenAI Gym's MountainCarContinuous environment. Code is from Udacity's "Deep Reinforcement Learning Nanodegree Program"
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