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2.1.1
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[2.1.1] - 2026-10-20
Changed (breaking changes)
Update the Isaac Lab environment loader to Isaac Lab 3. Older versions of Isaac Lab are not supported
Fixed
Fix Warp PPO agent's update not preprocessing sampled observations/states after the first learning epoch
Fix Warp Gaussian model sampling and log standard deviation gradients
Fix sequential trainer's single-environment multi-agent reset when agents finish/leave the episode
Fix JAX and Warp Ornstein-Uhlenbeck noise's mean reversion and innovations sampled with twice the standard deviation
Fix JAX and Warp Gaussian noise sampling with twice the standard deviation
Fix PyTorch multivariate Gaussian model using the variance instead of the standard deviation as covariance factor
Fix PyTorch TRPO agent's KL divergence using the wrong sign for the log standard deviation term
Fix Gym space conversion dropping the start of Discrete spaces and the dtype of MultiDiscrete spaces
Removed (breaking changes)
Remove the random_timesteps and learning_starts configuration fields from on-policy agents/multi-agents
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