RLax Files

Library of JAX-based building blocks for reinforcement learning agents

This is an exact mirror of the RLax project, hosted at https://github.com/google-deepmind/rlax. SourceForge is not affiliated with RLax. For more information, see the SourceForge Open Source Mirror Directory.

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Name	Modified	Size	InfoDownloads / Week
Parent folder
README.md	2023-01-09	870 Bytes	0
RLax 0.1.5 source code.tar.gz	2023-01-09	99.1 kB	0
RLax 0.1.5 source code.zip	2023-01-09	152.3 kB	0
Totals: 3 Items		252.3 kB	0

What's Changed

Replace for-loop in extract_subsequences with single indexing operation. by @copybara-service in https://github.com/deepmind/rlax/pull/98
Replace O(n^2) iterative insert with linear append + reverse. by @copybara-service in https://github.com/deepmind/rlax/pull/99
Expose utilities for constructing and learning from policy targets. by @copybara-service in https://github.com/deepmind/rlax/pull/106
Add support for disabling stop_gradients on targets (as in other rlax losses). by @copybara-service in https://github.com/deepmind/rlax/pull/107
[rlax] Update jax and numpy requirements for RLax. by @copybara-service in https://github.com/deepmind/rlax/pull/114
Release new RLax version. by @copybara-service in https://github.com/deepmind/rlax/pull/115

Full Changelog: https://github.com/deepmind/rlax/compare/v0.1.4...v0.1.5

Source: README.md, updated 2023-01-09

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