┐  ╖
        ╓╖╬│╡  ││╬╖╖
    ╓╖╬│││││┘  ╬│││││╬╖
 ╖╬│││││╬╜        ╙╬│││││╖╖                               ╗╗╗
 ╬╬╬╬╖││╦╖        ╖╬││╗╣╣╣╬      ╟╣╣╬    ╟╣╣╣             ╜╜╜  ╟╣╣
 ╬╬╬╬╬╬╬╬╖│╬╖╖╓╬╪│╓╣╣╣╣╣╣╣╬      ╟╣╣╬    ╟╣╣╣ ╒╣╣╖╗╣╣╣╗   ╣╣╣ ╣╣╣╣╣╣ ╟╣╣╖   ╣╣╣
 ╬╬╬╬┐  ╙╬╬╬╬│╓╣╣╣╝╜  ╫╣╣╣╬      ╟╣╣╬    ╟╣╣╣ ╟╣╣╣╙ ╙╣╣╣  ╣╣╣ ╙╟╣╣╜╙  ╫╣╣  ╟╣╣
 ╬╬╬╬┐     ╙╬╬╣╣      ╫╣╣╣╬      ╟╣╣╬    ╟╣╣╣ ╟╣╣╬   ╣╣╣  ╣╣╣  ╟╣╣     ╣╣╣┌╣╣╜
 ╬╬╬╜       ╬╬╣╣      ╙╝╣╣╬      ╙╣╣╣╗╖╓╗╣╣╣╜ ╟╣╣╬   ╣╣╣  ╣╣╣  ╟╣╣╦╓    ╣╣╣╣╣
 ╙   ╓╦╖    ╬╬╣╣   ╓╗╗╖            ╙╝╣╣╣╣╝╜   ╘╝╝╜   ╝╝╝  ╝╝╝   ╙╣╣╣    ╟╣╣╣
   ╩╬╬╬╬╬╬╦╦╬╬╣╣╗╣╣╣╣╣╣╣╝                                             ╫╣╣╣╣
      ╙╬╬╬╬╬╬╬╣╣╣╣╣╣╝╜
          ╙╬╬╬╣╣╣╜
             ╙
        
 Version information:
  ml-agents: 1.2.0.dev0,
  ml-agents-envs: 1.2.0.dev0,
  Communicator API: 1.5.0,
  PyTorch: 2.2.2+cu121
[INFO] Connected to Unity environment with package version 2.2.1-exp.1 and communication version 1.5.0
[INFO] Connected new brain: Pyramids?team=0
[INFO] Hyperparameters for behavior name Pyramids: 
	trainer_type:	ppo
	hyperparameters:	
	  batch_size:	128
	  buffer_size:	2048
	  learning_rate:	0.0003
	  beta:	0.01
	  epsilon:	0.2
	  lambd:	0.95
	  num_epoch:	3
	  shared_critic:	False
	  learning_rate_schedule:	linear
	  beta_schedule:	linear
	  epsilon_schedule:	linear
	checkpoint_interval:	500000
	network_settings:	
	  normalize:	False
	  hidden_units:	512
	  num_layers:	2
	  vis_encode_type:	simple
	  memory:	None
	  goal_conditioning_type:	hyper
	  deterministic:	False
	reward_signals:	
	  extrinsic:	
	    gamma:	0.99
	    strength:	1.0
	    network_settings:	
	      normalize:	False
	      hidden_units:	128
	      num_layers:	2
	      vis_encode_type:	simple
	      memory:	None
	      goal_conditioning_type:	hyper
	      deterministic:	False
	  rnd:	
	    gamma:	0.99
	    strength:	0.01
	    network_settings:	
	      normalize:	False
	      hidden_units:	64
	      num_layers:	3
	      vis_encode_type:	simple
	      memory:	None
	      goal_conditioning_type:	hyper
	      deterministic:	False
	    learning_rate:	0.0001
	    encoding_size:	None
	init_path:	None
	keep_checkpoints:	5
	even_checkpoints:	False
	max_steps:	1000000
	time_horizon:	128
	summary_freq:	10000
	threaded:	False
	self_play:	None
	behavioral_cloning:	None
[INFO] Pyramids. Step: 10000. Time Elapsed: 79.680 s. No episode was completed since last summary. Training.
[INFO] Pyramids. Step: 20000. Time Elapsed: 154.731 s. Mean Reward: -1.000. Std of Reward: 0.000. Training.
[INFO] Pyramids. Step: 30000. Time Elapsed: 264.587 s. No episode was completed since last summary. Training.
[INFO] Pyramids. Step: 40000. Time Elapsed: 382.006 s. Mean Reward: -1.000. Std of Reward: 0.000. Training.
[INFO] Pyramids. Step: 50000. Time Elapsed: 516.293 s. Mean Reward: -1.000. Std of Reward: 0.000. Training.
[INFO] Pyramids. Step: 60000. Time Elapsed: 708.649 s. Mean Reward: 1.266. Std of Reward: 0.000. Training.
[INFO] Learning was interrupted. Please wait while the graph is generated.
[INFO] Exported results/Pyramids-course-20260925-v2/Pyramids/Pyramids-63991.onnx
[INFO] Copied results/Pyramids-course-20260925-v2/Pyramids/Pyramids-63991.onnx to results/Pyramids-course-20260925-v2/Pyramids.onnx.