`evorl.ec.optimizers.erl_ga`¶

Module Contents¶

Classes¶

`ERLGA`
`ERLGAMod`
`ERLGAModState`
`ERLGAState`

API¶

class evorl.ec.optimizers.erl_ga.ERLGA[source]¶

Bases: evorl.ec.optimizers.ec_optimizer.EvoOptimizer

ask(state: evorl.ec.optimizers.erl_ga.ERLGAState) → tuple[chex.ArrayTree, evorl.ec.optimizers.erl_ga.ERLGAState][source]¶

enable_crossover: bool¶: True

init(pop, key) → evorl.ec.optimizers.erl_ga.ERLGAState[source]¶

mut_strength: float¶: 0.1

num_crossover_frac: float¶: 0.1

num_elites: int¶: None

num_mutation_frac: float¶: 0.1

pop_size: int¶: None

reset_prob: float¶: 0.1

super_mut_prob: float¶: 0.05

super_mut_strength: float¶: 10.0

tell(state: evorl.ec.optimizers.erl_ga.ERLGAState, fitnesses: chex.Array) → tuple[evorl.types.PyTreeDict, evorl.ec.optimizers.erl_ga.ERLGAState][source]¶

tournament_size: int¶: 3

vec_relative_prob: float¶: 0.0

weight_max_magnitude: float¶: 1000000.0

class evorl.ec.optimizers.erl_ga.ERLGAMod[source]¶

Bases: evorl.ec.optimizers.erl_ga.ERLGA

external_size: int¶: None

init(pop, key) → evorl.ec.optimizers.erl_ga.ERLGAModState[source]¶

tell_external(state: evorl.ec.optimizers.erl_ga.ERLGAModState, fitnesses: chex.Array) → tuple[evorl.types.PyTreeDict, evorl.ec.optimizers.erl_ga.ERLGAModState][source]¶

class evorl.ec.optimizers.erl_ga.ERLGAModState[source]¶

Bases: evorl.ec.optimizers.erl_ga.ERLGAState

external_pop: None | chex.ArrayTree¶: None

class evorl.ec.optimizers.erl_ga.ERLGAState[source]¶

Bases: evorl.types.PyTreeData

key: chex.PRNGKey¶: None

pop: chex.ArrayTree¶: None