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License: MIT License
The board game Go implemented in JAX for fast game processing and machine learning training.
License: MIT License
Causes device writing / transfer
Would prefer action 1D
in addition to returning whether the move is invalid, it can also return the potential partial next state that sets the piece and removes any opponent pieces, and the killed pieces.
Following the JAX example
Use Chex to assert shapes
Use np.testing.assert_array_equal to assert array equality
ints and bools are unsupported
Potentially expensive to update 361 elements
Should just be gojax.functions
def get_uniform_valid_logits(states, rng_key):
raw_action_logits = jnp.zeros((len(states), gojax.get_action_size(states)))
flattened_invalids = jnp.reshape(gojax.get_invalids(states),
(-1, states.shape[2] * states.shape[3]))
action_logits = jnp.where(
jnp.append(flattened_invalids, jnp.zeros((len(states), 1), dtype=bool), axis=1),
jnp.full_like(raw_action_logits, float('-inf')), raw_action_logits)
action_1d = jax.random.categorical(rng_key, action_logits)
one_hot_action_1d = jax.nn.one_hot(action_1d, action_logits.shape[1], dtype=bool)
actions = jnp.reshape(one_hot_action_1d[:, :-1],
(-1, states.shape[2], states.shape[3]))
return actions
takes in N x H x C x B x B
history array and returns an integer array of shape (N, 1)
with values in {-1, 0, 1}
Redundantly changing turns, passing setting killed pieces and ending the game.
Swaps the black and white pieces and changes the turn
Make spreadsheet
Remove the src directory prefix
Making an invalid move will simply do nothing and change the turn
Takes in action1ds and action size.
Should be JIT compatible.
Replace old function.
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