==== CONFIG ====
cache_dir: null
solver:
  _target_: stable_worldmodel.solver.CEMSolver
  model: ???
  batch_size: 1
  num_samples: 300
  var_scale: 1.0
  n_steps: 30
  topk: 30
  device: cuda
  seed: ${seed}
world:
  env_name: swm/TwoRoom-v1
  num_envs: ${eval.num_eval}
  max_episode_steps: 100
  history_size: 1
  frame_skip: 1
seed: 42
policy: two-room/tworoom/lejepa
dataset:
  stats: ${eval.dataset_name}
  keys_to_cache:
  - action
  - proprio
plan_config:
  horizon: 5
  receding_horizon: 5
  action_block: 5
eval:
  num_eval: 50
  goal_offset_steps: 25
  eval_budget: 50
  img_size: 224
  dataset_name: tworoom
  callables:
  - method: _set_state
    args:
      state:
        value: proprio
  - method: _set_goal_state
    args:
      goal_state:
        value: goal_proprio
output:
  filename: tworoom_results.txt

==== RESULTS ====
metrics: {'success_rate': 88.0, 'episode_successes': array([ True, False,  True, False,  True,  True,  True,  True, False,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True, False,  True,  True,  True,  True,  True,
        True,  True,  True,  True, False,  True,  True,  True,  True,
        True,  True, False,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True]), 'seeds': None}
evaluation_time: 133.1857841014862 seconds
inference_precision: fp32

==== CONFIG ====
cache_dir: null
solver:
  _target_: stable_worldmodel.solver.CEMSolver
  model: ???
  batch_size: 1
  num_samples: 300
  var_scale: 1.0
  n_steps: 30
  topk: 30
  device: cuda
  seed: ${seed}
world:
  env_name: swm/TwoRoom-v1
  num_envs: ${eval.num_eval}
  max_episode_steps: 100
  history_size: 1
  frame_skip: 1
seed: 42
policy: two-room/tworoom/lejepa
dataset:
  stats: ${eval.dataset_name}
  keys_to_cache:
  - action
  - proprio
plan_config:
  horizon: 5
  receding_horizon: 5
  action_block: 5
eval:
  num_eval: 50
  goal_offset_steps: 25
  eval_budget: 50
  img_size: 224
  dataset_name: tworoom
  callables:
  - method: _set_state
    args:
      state:
        value: proprio
  - method: _set_goal_state
    args:
      goal_state:
        value: goal_proprio
output:
  filename: tworoom_results.txt

==== RESULTS ====
metrics: {'success_rate': 88.0, 'episode_successes': array([ True, False,  True, False,  True,  True,  True,  True, False,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True, False,  True,  True,  True,  True,  True,
        True,  True,  True,  True, False,  True,  True,  True,  True,
        True,  True, False,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True]), 'seeds': None}
evaluation_time: 131.6325900554657 seconds
inference_precision: fp32

==== CONFIG ====
cache_dir: null
solver:
  _target_: stable_worldmodel.solver.CEMSolver
  model: ???
  batch_size: 1
  num_samples: 300
  var_scale: 1.0
  n_steps: 30
  topk: 30
  device: cuda
  seed: ${seed}
world:
  env_name: swm/TwoRoom-v1
  num_envs: ${eval.num_eval}
  max_episode_steps: 100
  history_size: 1
  frame_skip: 1
seed: 42
policy: two-room/tworoom/lejepa
dataset:
  stats: ${eval.dataset_name}
  keys_to_cache:
  - action
  - proprio
plan_config:
  horizon: 5
  receding_horizon: 5
  action_block: 5
eval:
  num_eval: 50
  goal_offset_steps: 25
  eval_budget: 50
  img_size: 224
  dataset_name: tworoom
  callables:
  - method: _set_state
    args:
      state:
        value: proprio
  - method: _set_goal_state
    args:
      goal_state:
        value: goal_proprio
output:
  filename: tworoom_results.txt

==== RESULTS ====
metrics: {'success_rate': 88.0, 'episode_successes': array([ True, False,  True, False,  True,  True,  True,  True, False,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True, False,  True,  True,  True,  True,  True,
        True,  True,  True,  True, False,  True,  True,  True,  True,
        True,  True, False,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True]), 'seeds': None}
evaluation_time: 119.98270344734192 seconds
inference_precision: fp32

==== CONFIG ====
cache_dir: null
solver:
  _target_: stable_worldmodel.solver.CEMSolver
  model: ???
  batch_size: 1
  num_samples: 300
  var_scale: 1.0
  n_steps: 30
  topk: 30
  device: cuda
  seed: ${seed}
world:
  env_name: swm/TwoRoom-v1
  num_envs: ${eval.num_eval}
  max_episode_steps: 100
  history_size: 1
  frame_skip: 1
seed: 42
policy: two-room/tworoom/lejepa
dataset:
  stats: ${eval.dataset_name}
  keys_to_cache:
  - action
  - proprio
plan_config:
  horizon: 5
  receding_horizon: 5
  action_block: 5
eval:
  num_eval: 50
  goal_offset_steps: 25
  eval_budget: 50
  img_size: 224
  dataset_name: tworoom
  callables:
  - method: _set_state
    args:
      state:
        value: proprio
  - method: _set_goal_state
    args:
      goal_state:
        value: goal_proprio
output:
  filename: tworoom_results.txt

==== RESULTS ====
metrics: {'success_rate': 88.0, 'episode_successes': array([ True, False,  True, False,  True,  True,  True,  True, False,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True, False,  True,  True,  True,  True,  True,
        True,  True,  True,  True, False,  True,  True,  True,  True,
        True,  True, False,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True]), 'seeds': None}
evaluation_time: 121.47896695137024 seconds
inference_precision: fp32

==== CONFIG ====
cache_dir: null
solver:
  _target_: stable_worldmodel.solver.CEMSolver
  model: ???
  batch_size: 1
  num_samples: 300
  var_scale: 1.0
  n_steps: 30
  topk: 30
  device: cuda
  seed: ${seed}
world:
  env_name: swm/TwoRoom-v1
  num_envs: ${eval.num_eval}
  max_episode_steps: 100
  history_size: 1
  frame_skip: 1
seed: 42
policy: two-room/tworoom/lejepa
inference_precision: bf16
dataset:
  stats: ${eval.dataset_name}
  keys_to_cache:
  - action
  - proprio
plan_config:
  horizon: 5
  receding_horizon: 5
  action_block: 5
eval:
  num_eval: 50
  goal_offset_steps: 25
  eval_budget: 50
  img_size: 224
  dataset_name: tworoom
  callables:
  - method: _set_state
    args:
      state:
        value: proprio
  - method: _set_goal_state
    args:
      goal_state:
        value: goal_proprio
output:
  filename: tworoom_results.txt

==== RESULTS ====
metrics: {'success_rate': 84.0, 'episode_successes': array([ True, False,  True, False,  True,  True,  True,  True, False,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True, False,  True,  True,  True,  True,  True,
        True,  True,  True,  True, False,  True,  True,  True, False,
        True,  True, False, False,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True]), 'seeds': None}
evaluation_time: 97.36299586296082 seconds
inference_precision: bf16

==== CONFIG ====
cache_dir: null
solver:
  _target_: stable_worldmodel.solver.CEMSolver
  model: ???
  batch_size: 1
  num_samples: 300
  var_scale: 1.0
  n_steps: 30
  topk: 30
  device: cuda
  seed: ${seed}
world:
  env_name: swm/TwoRoom-v1
  num_envs: ${eval.num_eval}
  max_episode_steps: 100
  history_size: 1
  frame_skip: 1
seed: 42
policy: two-room/tworoom/lejepa
inference_precision: fp16
dataset:
  stats: ${eval.dataset_name}
  keys_to_cache:
  - action
  - proprio
plan_config:
  horizon: 5
  receding_horizon: 5
  action_block: 5
eval:
  num_eval: 50
  goal_offset_steps: 25
  eval_budget: 50
  img_size: 224
  dataset_name: tworoom
  callables:
  - method: _set_state
    args:
      state:
        value: proprio
  - method: _set_goal_state
    args:
      goal_state:
        value: goal_proprio
output:
  filename: tworoom_results.txt

==== RESULTS ====
metrics: {'success_rate': 90.0, 'episode_successes': array([ True, False,  True, False,  True,  True,  True,  True, False,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True, False,  True,  True,  True,  True,
        True,  True,  True, False,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True]), 'seeds': None}
evaluation_time: 94.01083040237427 seconds
inference_precision: fp16

==== CONFIG ====
cache_dir: null
solver:
  _target_: stable_worldmodel.solver.CEMSolver
  model: ???
  batch_size: 1
  num_samples: 300
  var_scale: 1.0
  n_steps: 30
  topk: 30
  device: cuda
  seed: ${seed}
world:
  env_name: swm/TwoRoom-v1
  num_envs: ${eval.num_eval}
  max_episode_steps: 100
  history_size: 1
  frame_skip: 1
seed: 42
policy: two-room/tworoom/lejepa
inference_precision: fp16
dataset:
  stats: ${eval.dataset_name}
  keys_to_cache:
  - action
  - proprio
plan_config:
  horizon: 5
  receding_horizon: 5
  action_block: 5
eval:
  num_eval: 50
  goal_offset_steps: 25
  eval_budget: 50
  img_size: 224
  dataset_name: tworoom
  callables:
  - method: _set_state
    args:
      state:
        value: proprio
  - method: _set_goal_state
    args:
      goal_state:
        value: goal_proprio
output:
  filename: tworoom_results.txt

==== RESULTS ====
metrics: {'success_rate': 90.0, 'episode_successes': array([ True, False,  True, False,  True,  True,  True,  True, False,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True, False,  True,  True,  True,  True,
        True,  True,  True, False,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True]), 'seeds': None}
evaluation_time: 89.50024104118347 seconds
inference_precision: fp16

==== CONFIG ====
cache_dir: null
solver:
  _target_: stable_worldmodel.solver.CEMSolver
  model: ???
  batch_size: 1
  num_samples: 300
  var_scale: 1.0
  n_steps: 30
  topk: 30
  device: cuda
  seed: ${seed}
world:
  env_name: swm/TwoRoom-v1
  num_envs: ${eval.num_eval}
  max_episode_steps: 100
  history_size: 1
  frame_skip: 1
seed: 42
policy: two-room/tworoom/lejepa
inference_precision: fp16
dataset:
  stats: ${eval.dataset_name}
  keys_to_cache:
  - action
  - proprio
plan_config:
  horizon: 5
  receding_horizon: 5
  action_block: 5
eval:
  num_eval: 50
  goal_offset_steps: 25
  eval_budget: 50
  img_size: 224
  dataset_name: tworoom
  callables:
  - method: _set_state
    args:
      state:
        value: proprio
  - method: _set_goal_state
    args:
      goal_state:
        value: goal_proprio
output:
  filename: tworoom_results.txt

==== RESULTS ====
metrics: {'success_rate': 90.0, 'episode_successes': array([ True, False,  True, False,  True,  True,  True,  True, False,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True,  True,  True,  True,  True,
        True,  True,  True,  True, False,  True,  True,  True,  True,
        True,  True,  True, False,  True,  True,  True,  True,  True,
        True,  True,  True,  True,  True]), 'seeds': None}
evaluation_time: 86.20240807533264 seconds
inference_precision: fp16