nicoleorzan

emergent-communication

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

kite-power

Wind Energy Harvesting with Reinforcement Learning :airplane:

Multi-armed-bandit-RL

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

cps-exam

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

marl-emecom

Multi Agent Reinforcement Learning with Emergent Communication for Mixed Motive Environments

coco-analysis

P1.2_seed

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.

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:

berlin_clock

Berlin Clock Java Implementation :watch:

ad_exam

advanced-programming

algorithmic_design

Braess-paradox

Analyze and minimize the Braess' Paradox on networks

CBIR

🏞 A content-based image retrieval (CBIR) system

exam_big_data

homework_fall2020

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

learning-pytorch

marl-in-pgg

nicoleorzan.github.io

P1.4_seed

Applied Mathematics - Numerical Analysis: An introduction to Scientific Computing

PyAdvancedControl

Python codes for advanced control

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques