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davidfitzek paparazz1 zpyoung yazdanbakhsh toon159

mctx_learning_demo's Issues

Visualization?

Is there any visualization of the task like I can use the trained model?

Better search_value

Thanks for preparing the whole training script and the JAX environment.

I have minor suggestion to improve the target for the value network.
When using sequential halving, the search does exploration to find the best action.
The root value is then possibly underestimated, because the average value includes the values of the explored actions.

mctx_learning_demo/basic_tree_search.py

Line 189 in e79a655

search_value = policy_output.search_tree.node_values[:, policy_output.search_tree.ROOT_INDEX]

A better target for the value network would be the Q-value of the selected action:

search_value = policy_output.search_tree.qvalues(policy_output.action)

Problems with Haiku

I install Haiku through this command:

pip install git+https://github.com/deepmind/dm-haiku

But I got this error:

Traceback (most recent call last):
  File "basic_tree_search.py", line 2, in <module>
    import haiku as hk
  File "/home/percyp/anaconda3/envs/isaac/lib/python3.8/site-packages/haiku/__init__.py", line 19, in <module>
    from haiku import data_structures
  File "/home/percyp/anaconda3/envs/isaac/lib/python3.8/site-packages/haiku/data_structures.py", line 18, in <module>
    from haiku._src.data_structures import to_haiku_dict
  File "/home/percyp/anaconda3/envs/isaac/lib/python3.8/site-packages/haiku/_src/data_structures.py", line 30, in <module>
    from haiku._src import utils
  File "/home/percyp/anaconda3/envs/isaac/lib/python3.8/site-packages/haiku/_src/utils.py", line 42, in <module>
    def auto_repr(cls: type[Any], *args, **kwargs) -> str:
TypeError: 'type' object is not subscriptable

Am I installing from the wrong place? Could you help me solve this problem?

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