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v0.2.1 — Improved Training Stability and Performance

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@SyleKu SyleKu released this 11 Apr 19:01
· 6 commits to main since this release

Improvements

  • increased total training timesteps for more stable learning
  • tuned learning rate and entropy coefficient
  • improved evaluation stability through more episodes
  • more consistent policy learning behaviour

Results

The agent now demonstrates significantly improved performance, reaching higher evaluation rewards and showing clearer learning trends compared to previous versions.

Notes

While the agent shows strong progress, further tuning is required to achieve fully stable baseline performance on CartPole-v1.

Next steps

  • further stabilize training to consistently reach high rewards
  • reproduce strong baseline results (>150-200 reward)
  • benchmark