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Commits on Dec 12, 2020

• Make leduc poker observation code easier to read.

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• Improved documentation of observer and observation.

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Commits on Oct 13, 2020

• Change sample_some_states algorithm to sample in a bushier fashion, without a fixed depth limit.

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Commits on Sep 28, 2020

• Add interface for state-independent formatting of actions.

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• Make SpielError into its own type on the Python side.

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• Tidy up test code.

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Commits on Sep 22, 2020

• Merge pull request #370 from deepmind/revert-328-spiel_exception

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• Revert "Add registration of SpielException so it can be caught in Python with…"

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• Merge pull request #328 from michalsustr/spiel_exception

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Commits on Aug 31, 2020

• Add constant for standard information state observations.

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Commits on Aug 20, 2020

• Update colab notebook to using clang 9

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Commits on Aug 11, 2020

• Fix array bounds read issue.

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• Make GameParameter access thread-safe.

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• Make Game non-copyable.

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Commits on Jul 31, 2020

• Remove old public/private observation API.

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• Switch observation history to use new observation API

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• Use new observation API for public and private observations in playthroughs.

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• Implement new API for coordinated matching pennies.

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• Implement new API for Kuhn poker.

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• Make has_string and has_tensor member variables.

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• Compressing and decompressing observations.

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• Sensible defaults for get_all_states.

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Commits on Jul 27, 2020

• Sharding of playthrough regeneration.

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• Implement new API natively for Leduc.

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• New observation framework, part 1:

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• Correct information type for Goofspiel.

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Commits on Jul 20, 2020

• Switch from vector<float> to absl::Span<float> for observations.

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• Switch OpenSpiel observations from double to float. This is smaller, faster, and more compatible with ML libraries.

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Commits on Jul 18, 2020

• Split playthrough test into multiple tests.

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• Faster bridge tests.

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• Fix tuple shuffling.

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• Faster bridge tests.

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Commits on Jul 13, 2020

• Fixes for memory errors.

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Commits on Jul 2, 2020

• Writing observations in float32 in-place.

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• Finer-grained calculation of double-dummy results in bridge.

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