# Copyright (c) 2022-2025, The Isaac Lab Project Developers.
# All rights reserved.
#
# SPDX-License-Identifier: BSD-3-Clause

from isaaclab_rl.rsl_rl import RslRlOnPolicyRunnerCfg, RslRlPpoActorCriticCfg, RslRlPpoAlgorithmCfg

from isaaclab.utils import configclass


@configclass
class AllegroCubePPORunnerCfg(RslRlOnPolicyRunnerCfg):
    num_steps_per_env = 24
    max_iterations = 5000
    save_interval = 50
    experiment_name = "allegro_cube"
    empirical_normalization = True
    policy = RslRlPpoActorCriticCfg(
        init_noise_std=1.0,
        actor_hidden_dims=[512, 256, 128],
        critic_hidden_dims=[512, 256, 128],
        activation="elu",
    )
    algorithm = RslRlPpoAlgorithmCfg(
        value_loss_coef=1.0,
        use_clipped_value_loss=True,
        clip_param=0.2,
        entropy_coef=0.002,
        num_learning_epochs=5,
        num_mini_batches=4,
        learning_rate=0.001,
        schedule="adaptive",
        gamma=0.998,
        lam=0.95,
        desired_kl=0.01,
        max_grad_norm=1.0,
    )


@configclass
class AllegroCubeNoVelObsPPORunnerCfg(AllegroCubePPORunnerCfg):
    experiment_name = "allegro_cube_no_vel_obs"
