skrl-v2.1.0

[2.1.0] - 2026-05-10

Changed

• Improving the robustness and learning capabilities of on-policy algorithms:
  • Sample data from memory using per-epoch mini-batch shuffling
  • Sum-reduce policy entropy to prevent collapse into near-deterministic stand still behavior
• Set the random memory replacement argument to false by default

Fixed

• Fix time limits handling of truncation signals in on-policy agents/multi-agents
• Fix the indexing of finished episodes for cumulative rewards and timestep tracking