ALICE is a project to explore curiosity in a model incorporating both reinforcement learning and evolutionary processes.
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README.md

curiosity

quickstart

  • . ./jupyter.sh runs jupyter-lab (setting everything up if necessary)

Note, run scripts using source <scriptname> or . ./<scriptname>

helper scripts

  • . ./update_env.sh creates or updates the project python environment
  • . ./activate_env.sh activate the project environment (calling update if missing)
  • . ./deactivate_env.sh deactivate the project environment
  • . ./jupyter.sh runs jupyter-lab (calling activate for safety)

structure

├── code
│   ├── agents/          # agent algorithms
│   ├── environments/    # test environments
│   └── evolve.py        # sample evolution code
├── notebooks/           # example notebooks
├── papers/              # useful shared docs
├── requirements-conda.txt # conda project dependencies
├── requirements-pip.txt   # pip project dependencies (sometimes necessary)