Comments (2)
I think the following indicates that only the latest observation is used.
from hanabi-learning-environment.
Confirming that the results presented in the paper did not use any observation stacking.
from hanabi-learning-environment.
Related Issues (20)
- Ad-Hoc Play
- Interoperable game record format / export / import
- Question: Why no observation stacking? HOT 1
- checkpointer._clean_up_old_checkpoints not working as intended/documented?
- rl_env.step() exits the program if illegal move is passed instead of throwing an exception HOT 1
- Error in Pip install HOT 1
- [Feature Request] Start game from specific state HOT 1
- PyPI Release HOT 2
- Support to multiple GPU training?
- [pyhanabi.py] HanabiState.copy() does not return correct fireworks HOT 2
- Visual studio 2019 is not recognised HOT 1
- pip install error HOT 1
- Score at final state might be calculated wrong HOT 1
- Confusion on Observation Bit-Strings
- Are there any scripts available to easily reproduce the results of the paper? HOT 2
- Defining Non-canonical (Float) Observations
- HanabiState.copy() truncates fireworks HOT 2
- windows OS pip install failed error C2039: "accumulate": not a member of "std" HOT 2
- module 'tensorflow' has no attribute 'contrib'
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