nicoleorzan Goto Github PK

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advanced-programming

algorithmic_design

berlin_clock

Berlin Clock Java Implementation :watch:

braess-paradox

Analyze and minimize the Braess' Paradox on networks

cbir

🏞 A content-based image retrieval (CBIR) system

coco-analysis

cps-exam

Cyber-Physical Sysems course Exam: PID, Reinforcement Learning and Temporal Logic

emergent-communication

Studying emergent communication among agents in cooperative and competitive environments using Reinforcement Learning, game theory and replicator dynamics

exam_big_data

homework_fall2020

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

kite-power

Wind Energy Harvesting with Reinforcement Learning :airplane:

learning-pytorch

marl-emecom

Multi Agent Reinforcement Learning with Emergent Communication for Mixed Motive Environments

marl-in-pgg

multi-armed-bandit-rl

C++ implementation of Multi-Armed Bandits (Gaussian and Bernoulli)

nicoleorzan.github.io

p1.2_seed

p1.4_seed

Applied Mathematics - Numerical Analysis: An introduction to Scientific Computing

particle-swarm-optimization

Python implementation of the Particle Swarm Optimization algorithm and some variants

ppo-for-beginners

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

pyadvancedcontrol

Python codes for advanced control

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

reinforcement-learning-maze

Use SARSA, Q learning, double Q and QV to solve a maze with Reinforcement Learning

wine-recognition

Recogizing a wine and its characteristics parsing bottle labels :wine_glass: