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##

model:
  horizon: 1
  state_filter_cfg:
    filter_coeff:
      position: 1.0
      velocity: 1.0
      acceleration: 0.0

    enable: False
  dt_traj_params:
    base_dt: 0.02
    base_ratio: 1.0
    max_dt: 0.25
  vel_scale: 1.0
  control_space: 'POSITION'
  teleport_mode: True
cost:
  pose_cfg:
    vec_weight: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
    #weight: [100, 500, 10, 20] 
    weight: [500, 5000, 30, 30]
    vec_convergence: [0.00, 0.000] 
    terminal: False
    use_metric: True
    
  cspace_cfg:
    weight: 0.000
  bound_cfg:
    weight: 50.0
    activation_distance: [0.1]
    null_space_weight: [1.0]
  primitive_collision_cfg:
    weight: 1000.0
    use_sweep: False
    classify: False
    activation_distance: 0.025
  self_collision_cfg:
    weight: 1000.0
    classify: False


lbfgs:
  n_iters: 80 #60
  inner_iters: 20
  cold_start_n_iters: 80
  min_iters: 20
  line_search_scale:  [0.01, 0.3, 0.7, 1.0] #[0.01,0.4, 0.9, 1.0] # # 
  fixed_iters: True
  cost_convergence: 1e-7
  cost_delta_threshold: 1e-6 #0.0001
  cost_relative_threshold: 1.0
  epsilon: 0.01 # used only in stable_mode
  history: 4
  horizon: 1
  use_cuda_graph: True
  n_envs: 1
  store_debug: False
  use_cuda_kernel: True
  stable_mode: True
  line_search_type: "approx_wolfe" #"wolfe"
  use_cuda_line_search_kernel: True
  use_cuda_update_best_kernel: True
  sync_cuda_time: True
  step_scale: 1.0 
  use_coo_sparse: True
  last_best: 10
  debug_info:
    visual_traj       : null #'ee_pos_seq'