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@Trinkle23897 Trinkle23897 released this 10 Jul 09:50
· 680 commits to master since this release
v0.2.4
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Learn about vigilant mode.

Algorithm Implementation

  1. n_step returns for all Q-learning based algorithms; (#51)
  2. Auto alpha tuning in SAC (#80)
  3. Reserve policy._state to support saving hidden states in replay buffer (#19)
  4. Add sample_avail argument in ReplayBuffer to sample only available index in RNN training mode (#19)

New Feature

  1. Batch.cat (#87), Batch.stack (#93), Batch.empty (#106, #110)
  2. Advanced slicing method of Batch (#106)
  3. Batch(kwargs, copy=True) will perform a deep copy (#110)
  4. Add random=True argument in collector.collect to perform sampling with random policy (#78)

API Change

  1. Batch.append -> Batch.cat
  2. Remove atari wrapper to examples, since it is not a key feature in tianshou (#124)
  3. Add some pre-defined nets in tianshou.utils.net. Since we only define API instead of a class, we do not present it in tianshou.net. (#123)

Docs

Add cheatsheet: https://tianshou.readthedocs.io/en/latest/tutorials/cheatsheet.html

Assets 3
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