v0.2.0 — Evaluation, Logging, and Plotting

Included in this release

• deteministic policy evaluation over multiple episodes
• configurable evaluation frequency during training
• CSV-baded logging of training metrics
• automatic plotting of:
  • evaluation reward
  • policy loss
  • value loss
• experiment outputs stored under experiments/

Current status

The PPO implementation is functional and demonstrates learning on CartPole-v1, though further tuning is required to achieve stable baseline performance.

Next steps

• improve training stability and reproduce strong CartPole baseline results
• benchmark against Stable-Baseline3
• extend evaluation and reporting