JuliaRL_CRR_CartPole

using ReinforcementLearning
using StableRNGs
using Flux
using Flux.Losses

function RL.Experiment(
    ::Val{:JuliaRL},
    ::Val{:CRR},
    ::Val{:CartPole},
    type::AbstractString;
    save_dir = nothing,
    seed = 123,
)
    rng = StableRNG(seed)
    UPDATE_FREQ = 10
    env = CartPoleEnv(; T = Float32, rng = rng)
    ns, na = length(state(env)), length(action_space(env))

    trajectory_num = 10000
    dataset_size = 10000
    batch_size = 64

    init = glorot_uniform(rng)

    create_actor_critic() = ActorCritic(
        actor = Chain(
            Dense(ns, 128, relu; init),
            Dense(128, 128, relu; init),
            Dense(128, na; init),
        ),
        critic = Chain(
            Dense(ns, 128, relu; init),
            Dense(128, 128, relu; init),
            Dense(128, na; init),
        ),
        optimizer = ADAM(1e-3),
    )

    agent = Agent(
        policy = OfflinePolicy(
            learner = CRRLearner(
                approximator = create_actor_critic() |> cpu,
                target_approximator = create_actor_critic() |> cpu,
                γ = 0.99f0,
                batch_size = batch_size,
                continuous = false,
                policy_improvement_mode = :exp,
                ratio_upper_bound = 20.0f0,
                β = 1.0f0,
                advantage_estimator = :mean,
                m = 4,
                update_freq = UPDATE_FREQ,
            ),
            dataset = gen_JuliaRL_dataset(:BasicDQN, :CartPole, type; dataset_size = dataset_size),
            continuous = false,
            batch_size = batch_size,
        ),
        trajectory = CircularArraySARTTrajectory(
            capacity = 1000,
            state = Vector{Float32} => (ns,),
        ),
    )

    stop_condition = StopAfterStep(trajectory_num, is_show_progress=!haskey(ENV, "CI"))
    hook = TotalRewardPerEpisode()
    Experiment(agent, env, stop_condition, hook, "CRR <-> CartPole ($type dataset)")
end

using Plots
ex = E`JuliaRL_CRR_CartPole(medium)`
run(ex)
plot(ex.hook.rewards)

                     Total reward per episode
             ┌────────────────────────────────────────┐
         200 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⢀⢸⢣⡾⣼⣸⡜⠉⠉⠉⠙⠋⠉⠉⠉⠉│
             │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡀⢀⣼⡎⢸⡇⣿⡿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣄⢸⣧⢸⣿⠀⠘⡇⣿⠇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢰⡟⡜⠿⣸⣿⠀⠀⠁⡿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣼⡇⡇⠀⠻⣿⠀⠀⠀⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⡇⠃⠀⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡿⡇⠀⠀⠀⡏⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
   Score     │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢰⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠀⠀⣿⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⣿⠀⢰⠋⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡿⠖⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⠀⢀⠀⠀⠀⣇⡄⠀⠀⣀⢀⢠⡄⠀⡀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⢢⠜⡆⣄⡜⢸⠛⣶⣇⠟⡜⣼⠣⢤⢻⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
           0 │⠀⠀⠈⠀⠀⠈⠀⠈⠈⠀⠃⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             └────────────────────────────────────────┘
             0                                       90
                              Episode
                     Total reward per episode
             ┌────────────────────────────────────────┐
         200 │⠀⠀⢸⠀⢸⠉⡇⡏⠉⠉⠉⠉⠉⢣⡜⠉⠉⠉⠙⡼⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⠉⡇⠀⠀⠀⠀│
             │⠀⠀⢸⠀⢸⠀⡇⡇⠀⠀⠀⠀⠀⢸⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢣⠀⠀⠀⠀│
             │⠀⠀⢸⠀⡸⠀⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀│
             │⠀⠀⣿⠀⡇⠀⣿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀│
             │⠀⠀⡟⡄⡇⠀⢿⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀│
             │⠀⠀⡇⡇⡇⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠘⠀⠀⠀⠀│
             │⠀⠀⡇⡇⡇⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
   Score     │⠀⠀⡇⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⠀⠀⡇⡇⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⠀⠀⡇⢣⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⠀⠀⡇⢸⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⠀⢰⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             │⢀⠇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
           0 │⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│
             └────────────────────────────────────────┘
             0                                       60
                              Episode

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