v0.3.0

Release note

Changes from v0.2.x

New features

• Multi-objective optimization (Pareto optimization)
• Initialize policy (model) with pre-evaluated training datasets
• Parallelization for evaluating acquisition function (score) on each candidate (EXPERIMENTAL)

Documents

• Tutorials are updated
  • Multi-objective optimization
  • Initialize with pre-evaluated data

Others

• pip install from the local source code is enabled