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core.jl
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core.jl
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export start_berl, print_metrics
using UUIDs
function start_berl(algo_name::String, env_name::String; env_params...)
cfg_path = "./src/algorithms/$algo_name/$env_name.yaml"
if algo_name in ["NEAT", "HyperNEAT", "CPPN"]
cfg = NeuroEvolution.get_config(cfg_path)
else
cfg = CartesianGeneticProgramming.get_config(cfg_path)
end
for (k, v) in pairs(env_params)
cfg[string(k)] = v
end
# Create and setup the environment
env::BERLenv = environments[env_name](cfg)
id = string(UUIDs.uuid1())
println(id)
cfg["id"] = "$(algo_name)_$(env.name)_$id)"
println(cfg["id"])
# Fitness function
fit::Function = i::Cambrian.Individual -> fitness(i, env)
# Create evolution
e::Cambrian.Evolution = algorithms[algo_name](cfg, fit)
# e.logger = CambrianLogger(string("logs/", e.id, ".log"))
val, t, bytes, gctime, memallocs = @timed BERL.run!(e, env)
best = sort(e.population)[end]
metrics = Dict()
metrics["id"]=cfg["id"]
metrics["Algorithm"]=algo_name
metrics["Environment"]= get(cfg, "gym_env", get(cfg, "atari_game", env_name))
metrics["Best fitness"]=best.fitness[1]
metrics["Best indiv"]=best
metrics["Run time"]=t
metrics["Memory allocated"]=bytes
metrics
end
function print_metrics(m)
println("> ", m["Algorithm"], " | ", m["Environment"])
println(" - Final fitness: ", m["Best fitness"])
println(" - Run time: ", m["Run time"], "s")
println(" - Memory allocated: ", m["Memory allocated"], " bytes")
end