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rsl-rl v5.4.2: Fix Adaptive LR Resume Bug

Why it mattersFixes learning rate not loading correctly on resume, ensuring training continuity.

rsl-rl is an open-source library for robot reinforcement learning. This minor release fixes a critical bug: when resuming training with adaptive learning rate scheduling, the previously saved learning rate was not loaded correctly, causing abnormal training behavior. Now the resumed training uses the saved learning rate, ensuring continuity and stability.

What changed

  • Fixed the issue where the loaded learning rate was not used when resuming training with adaptive learning rate scheduling
  • Ensures the learning rate matches the saved state upon resume, preventing abnormal behavior after interruption
  • References detailed discussion in issue #221
releaseprojectrsl_rlv5.4.2GitHubupdate

Source: GitHub Releases · July 30, 2026

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What changed

  • Fixed the issue where the loaded learning rate was not used when resuming training with adaptive learning rate scheduling
  • Ensures the learning rate matches the saved state upon resume, preventing abnormal behavior after interruption
  • References detailed discussion in issue #221

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