Postgraduate Projects

A collection of research and experimentation projects relating to robot learning.

Projects

1. Continual Learning Playground

Experiments with continual learning algorithms and techniques including EWC, experience replay, and progressive neural networks.

2. Evolutionary Algorithm Playground

Implementation and experimentation with various evolutionary algorithms including GA, DE, PSO, and multi-objective optimization.

3. Reinforcement Learning Playground

RL algorithms and environments including Q-Learning, DQN, REINFORCE, and OpenAI Gym integration.

Quick Start

# Install pip-tools
pip install pip-tools
python -m venv env
env\Scripts\activate  # Windows Powershell
source env/Scripts/activate # Bash 

# Generate consolidated requirements
pip-compile requirements.in

# Install all dependencies
pip install -r requirements.txt

Dependency Management

This workspace uses pip-tools to manage dependencies across all sub-projects. See README_requirements.md for details.

Project Structure

postgrad_projects/
├── requirements.in              # Main dependency specification
├── requirements.txt            # Generated consolidated dependencies  
├── README_requirements.md      # Dependency management guide
├── continual_learning_playground/
│   ├── main.py
│   ├── requirements.txt
│   └── src/
├── evo_alg_playground/
│   ├── main.py  
│   ├── requirements.txt
│   └── src/
└── rl_playground/
    ├── main.py
    ├── requirements.txt
    └── src/