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- "env_cfg": "{\"name\": \"GDY-MettaGrid\", \"_target_\": \"env.griddly.mettagrid.gym_env.MettaGridGymEnv\", \"max_action_value\": 10, \"game_builder\": {\"_target_\": \"env.griddly.mettagrid.game_builder.MettaGridGameBuilder\", \"obs_width\": 11, \"obs_height\": 11, \"max_steps\": 1000, \"tile_size\": 16, \"num_agents\": 20, \"objects\": {\"agent\": {\"initial_energy\": 100, \"max_energy\": 500, \"max_inventory\": 5, \"freeze_duration\": 10, \"hp\": 1, \"upkeep\": {\"shield\": 1}}, \"altar\": {\"hp\": 30, \"cooldown\": 2, \"cost\": 100}, \"converter\": {\"hp\": 30, \"cooldown\": 2, \"energy_output\": 50, \"cost\": 0}, \"generator\": {\"hp\": 30, \"cooldown\": 50, \"initial_resources\": 100, \"cost\": 0}, \"wall\": {\"density\": 0.01, \"hp\": 10}}, \"actions\": {\"move\": {\"cost\": 0}, \"rotate\": {\"cost\": 0}, \"jump\": {\"cost\": 3}, \"shield\": {\"cost\": 0}, \"drop\": {\"cost\": 1}, \"use\": {\"cost\": 0}, \"attack\": {\"cost\": 5, \"damage\": 5}}, \"map\": {\"layout\": [[\"base\", \"wild_1\", \"base\"], [\"wild_2\", \"center\", \"wild_2\"], [\"base\", \"wild_1\", \"base\"]], \"room\": {\"width\": 25, \"height\": 25, \"num_agents\": 5, \"objects\": {\"agent\": 5, \"altar\": 1, \"converter\": 3, \"generator\": 15, \"wall\": 10}}, \"wild_1\": {\"width\": 10, \"height\": 15, \"border\": 0, \"objects\": {\"agent\": 0, \"altar\": 1, \"converter\": 1, \"generator\": 5, \"wall\": 5}}, \"wild_2\": {\"width\": 15, \"height\": 10, \"border\": 0, \"objects\": {\"agent\": 0, \"altar\": 1, \"converter\": 1, \"generator\": 5, \"wall\": 5}}, \"center\": {\"width\": 10, \"height\": 10, \"border\": 0, \"objects\": {\"agent\": 0, \"altar\": 2, \"converter\": 5, \"generator\": 10, \"wall\": 20}}, \"base\": {\"width\": 15, \"height\": 15, \"border\": 1, \"objects\": {\"agent\": 5, \"altar\": 1, \"converter\": 3, \"generator\": 5, \"wall\": 5}}}}}",
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  "agent_cfg": "{\"_target_\": \"agent.metta_agent.MettaAgent\", \"observation_encoders\": {\"grid_obs\": {\"feature_names\": [], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 512, \"layers\": 4}, \"global_vars\": {\"feature_names\": [], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 8, \"layers\": 2}, \"last_action\": {\"feature_names\": [\"last_action_id\", \"last_action_val\"], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 8, \"layers\": 2}, \"last_reward\": {\"feature_names\": [\"last_reward\"], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 8, \"layers\": 2}}, \"fc\": {\"layers\": 3, \"output_dim\": 512}, \"decoder\": {\"_target_\": \"agent.decoder.Decoder\"}, \"core\": {\"_target_\": \"sample_factory.model.core.ModelCoreRNN\", \"rnn_type\": \"gru\", \"rnn_num_layers\": 1, \"rnn_size\": 512}}",
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  "command_line": "--aux_loss_coef=0 --recurrence=256 --rollout=256 --value_loss_coeff=0.976 --exploration_loss=symmetric_kl --exploration_loss_coeff=0.002 --policy_initialization=orthogonal --learning_rate=0.0001 --max_policy_lag=50 --nonlinearity=elu --load_checkpoint_kind=latest --normalize_input=False --seed=0 --batch_size=16384 --decorrelate_experience_max_seconds=150 --train_for_env_steps=9999999999999 --with_wandb=True --wandb_user=platypus --wandb_project=metta --experiment=p2.metta.4 --rnn_type=gru --rnn_num_layers=1 --rnn_size=512 --env=GDY-MettaGrid --env_cfg={\"name\": \"GDY-MettaGrid\", \"_target_\": \"env.griddly.mettagrid.gym_env.MettaGridGymEnv\", \"game_builder\": {\"_target_\": \"env.griddly.mettagrid.game_builder.MettaGridGameBuilder\", \"obs_width\": 11, \"obs_height\": 11, \"max_steps\": 1000, \"tile_size\": 16, \"width\": 40, \"height\": 40, \"objects\": {\"agent\": {\"count\": 20, \"initial_energy\": 100, \"max_energy\": 500, \"max_inventory\": 5, \"freeze_duration\": 10, \"hp\": 1, \"upkeep\": {\"shield\": 1}}, \"altar\": {\"hp\": 30, \"count\": 5, \"cooldown\": 2, \"cost\": 100}, \"converter\": {\"hp\": 30, \"count\": 10, \"cooldown\": 2, \"energy_output\": 50, \"cost\": 0}, \"generator\": {\"hp\": 30, \"count\": 50, \"cooldown\": 50, \"initial_resources\": 100, \"cost\": 0}, \"wall\": {\"density\": 0.01, \"hp\": 10}, \"charger\": {\"count\": 10}}, \"actions\": {\"move\": {\"cost\": 0}, \"rotate\": {\"cost\": 0}, \"jump\": {\"cost\": 3}, \"shield\": {\"cost\": 0}, \"drop\": {\"cost\": 1}, \"use\": {\"cost\": 0}, \"attack\": {\"cost\": 5, \"damage\": 5}}}, \"global_features\": [\"conf:agent:energy:initial\", \"conf:agent:energy:max\", \"conf:altar:cooldown\", \"conf:altar:cost\", \"conf:attack:damage\", \"conf:attack:freeze_duration\", \"conf:charger:cooldown\", \"conf:charger:energy\", \"conf:cost:attack\", \"conf:cost:frozen\", \"conf:cost:jump\", \"conf:cost:move\", \"conf:cost:rotate\", \"conf:cost:shield:upkeep\", \"conf:cost:shield\", \"conf:generator:cooldown\", \"conf:gift:energy\"], \"grid_features\": [\"agent\", \"altar\", \"charger\", \"generator\", \"wall\", \"agent:dir\", \"agent:energy\", \"agent:frozen\", \"agent:id\", \"agent:inv:1\", \"agent:inv:2\", \"agent:inv:3\", \"agent:shield\", \"agent:species\", \"altar:ready\", \"charger:bonus\", \"charger:input:1\", \"charger:input:2\", \"charger:input:3\", \"charger:output\", \"charger:ready\", \"generator:ready\", \"generator:resource\"], \"actions\": [\"rotate\", \"move\", \"jump\", \"use\", \"gift\", \"shield\", \"attack\"], \"max_action_value\": 10} --agent_cfg={\"_target_\": \"agent.metta_agent.MettaAgent\", \"observation_encoders\": {\"grid_obs\": {\"feature_names\": [], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 512, \"layers\": 4}, \"global_vars\": {\"feature_names\": [], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 8, \"layers\": 2}, \"last_action\": {\"feature_names\": [\"last_action_id\", \"last_action_val\"], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 8, \"layers\": 2}, \"last_reward\": {\"feature_names\": [\"last_reward\"], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 8, \"layers\": 2}}, \"fc\": {\"layers\": 3, \"output_dim\": 512}, \"decoder\": {\"_target_\": \"agent.decoder.Decoder\"}, \"core\": {\"_target_\": \"sample_factory.model.core.ModelCoreRNN\", \"rnn_type\": \"gru\", \"rnn_num_layers\": 1, \"rnn_size\": 512}}",
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  "agent_cfg": "{\"_target_\": \"agent.metta_agent.MettaAgent\", \"observation_encoders\": {\"grid_obs\": {\"feature_names\": [], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 512, \"layers\": 4}, \"global_vars\": {\"feature_names\": [], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 8, \"layers\": 2}, \"last_action\": {\"feature_names\": [\"last_action_id\", \"last_action_val\"], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 8, \"layers\": 2}, \"last_reward\": {\"feature_names\": [\"last_reward\"], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 8, \"layers\": 2}}, \"fc\": {\"layers\": 3, \"output_dim\": 512}, \"decoder\": {\"_target_\": \"agent.decoder.Decoder\"}, \"core\": {\"_target_\": \"sample_factory.model.core.ModelCoreRNN\", \"rnn_type\": \"gru\", \"rnn_num_layers\": 1, \"rnn_size\": 512}}",
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  "command_line": "--aux_loss_coef=0 --recurrence=256 --rollout=256 --value_loss_coeff=0.976 --exploration_loss=symmetric_kl --exploration_loss_coeff=0.002 --policy_initialization=orthogonal --learning_rate=0.0001 --max_policy_lag=50 --nonlinearity=elu --load_checkpoint_kind=latest --normalize_input=False --seed=0 --batch_size=16384 --decorrelate_experience_max_seconds=150 --train_for_env_steps=9999999999999 --with_wandb=True --wandb_user=platypus --wandb_project=metta --experiment=p2.metta.4 --rnn_type=gru --rnn_num_layers=1 --rnn_size=512 --env=GDY-MettaGrid --env_cfg={\"name\": \"GDY-MettaGrid\", \"_target_\": \"env.griddly.mettagrid.gym_env.MettaGridGymEnv\", \"game_builder\": {\"_target_\": \"env.griddly.mettagrid.game_builder.MettaGridGameBuilder\", \"obs_width\": 11, \"obs_height\": 11, \"max_steps\": 1000, \"tile_size\": 16, \"width\": 40, \"height\": 40, \"objects\": {\"agent\": {\"count\": 20, \"initial_energy\": 100, \"max_energy\": 500, \"max_inventory\": 5, \"freeze_duration\": 10, \"hp\": 1, \"upkeep\": {\"shield\": 1}}, \"altar\": {\"hp\": 30, \"count\": 5, \"cooldown\": 2, \"cost\": 100}, \"converter\": {\"hp\": 30, \"count\": 10, \"cooldown\": 2, \"energy_output\": 50, \"cost\": 0}, \"generator\": {\"hp\": 30, \"count\": 50, \"cooldown\": 50, \"initial_resources\": 100, \"cost\": 0}, \"wall\": {\"density\": 0.01, \"hp\": 10}, \"charger\": {\"count\": 10}}, \"actions\": {\"move\": {\"cost\": 0}, \"rotate\": {\"cost\": 0}, \"jump\": {\"cost\": 3}, \"shield\": {\"cost\": 0}, \"drop\": {\"cost\": 1}, \"use\": {\"cost\": 0}, \"attack\": {\"cost\": 5, \"damage\": 5}}}, \"global_features\": [\"conf:agent:energy:initial\", \"conf:agent:energy:max\", \"conf:altar:cooldown\", \"conf:altar:cost\", \"conf:attack:damage\", \"conf:attack:freeze_duration\", \"conf:charger:cooldown\", \"conf:charger:energy\", \"conf:cost:attack\", \"conf:cost:frozen\", \"conf:cost:jump\", \"conf:cost:move\", \"conf:cost:rotate\", \"conf:cost:shield:upkeep\", \"conf:cost:shield\", \"conf:generator:cooldown\", \"conf:gift:energy\"], \"grid_features\": [\"agent\", \"altar\", \"charger\", \"generator\", \"wall\", \"agent:dir\", \"agent:energy\", \"agent:frozen\", \"agent:id\", \"agent:inv:1\", \"agent:inv:2\", \"agent:inv:3\", \"agent:shield\", \"agent:species\", \"altar:ready\", \"charger:bonus\", \"charger:input:1\", \"charger:input:2\", \"charger:input:3\", \"charger:output\", \"charger:ready\", \"generator:ready\", \"generator:resource\"], \"actions\": [\"rotate\", \"move\", \"jump\", \"use\", \"gift\", \"shield\", \"attack\"], \"max_action_value\": 10} --agent_cfg={\"_target_\": \"agent.metta_agent.MettaAgent\", \"observation_encoders\": {\"grid_obs\": {\"feature_names\": [], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 512, \"layers\": 4}, \"global_vars\": {\"feature_names\": [], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 8, \"layers\": 2}, \"last_action\": {\"feature_names\": [\"last_action_id\", \"last_action_val\"], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 8, \"layers\": 2}, \"last_reward\": {\"feature_names\": [\"last_reward\"], \"normalize_features\": true, \"label_dim\": 4, \"output_dim\": 8, \"layers\": 2}}, \"fc\": {\"layers\": 3, \"output_dim\": 512}, \"decoder\": {\"_target_\": \"agent.decoder.Decoder\"}, \"core\": {\"_target_\": \"sample_factory.model.core.ModelCoreRNN\", \"rnn_type\": \"gru\", \"rnn_num_layers\": 1, \"rnn_size\": 512}}",
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  "cli_args": {
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