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@@ -97,6 +97,7 @@ All notable changes to this project will be documented in this file.
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### Fehu
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- Added snapshot-based save/load for DQN and REINFORCE agents (#127, @RidwanAdebosin, @tmattio)
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- Added typed `Render` payloads with enforced `render_mode` selection in `Env.create`, auto human-mode rendering, and vectorized `Env.render` accessors so environments consistently expose frames for downstream tooling (@tmattio)
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- Introduced the `Fehu_visualize` library with ffmpeg/gif/W&B sinks, overlay combinators, rollout/evaluation recorders, and video wrappers for single and vectorized environments, providing a cohesive visualization stack for Fehu (@tmattio)
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- Reworked space sampling to return `(value, next_rng)` and split keys internally, fixing correlated draws in Box/Multi-discrete/Tuple/Dict/Sequence/Text samplers while adding `Space.boundary_values` for deterministic compatibility checks (@tmattio)
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- Model zoo: Reference implementations of classic and modern architectures (LeNet5 for basic CNNs, BERT for masked language modeling, GPT2 for autoregressive generation) including reusable transformer components
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- Ecosystem integration: Load HuggingFace model architectures (`kaun.huggingface`), access common datasets like MNIST and CIFAR-10 (`kaun.datasets`), and use standardized model definitions (`kaun.models`)
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## [Unreleased]
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### Added
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- Implemented save/load serialization for Fehu's DQN agent.
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- Added regression tests to verify agent outputs after save/load.
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### Contributors
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Thanks to everyone who contributed to this release:

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