feat: HoReKa cluster adaptation and validation
- Updated all WandB project names to use dppo- prefix for organization - Added flexible dev testing script for all environments - Created organized dev_tests directory for test scripts - Fixed MuJoCo compilation issues (added GCC compiler flags) - Documented Python 3.10 compatibility and Furniture-Bench limitation - Validated pre-training for Gym, Robomimic, D3IL environments - Updated experiment tracking with validation results - Enhanced README with troubleshooting and setup instructions
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@@ -21,7 +21,7 @@ cond_steps: 1
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wandb:
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entity: ${oc.env:DPPO_WANDB_ENTITY}
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project: d3il-${env}-pretrain
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project: dppo-d3il-${env}-pretrain
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run: ${now:%H-%M-%S}_${name}
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train:
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@@ -22,7 +22,7 @@ cond_steps: 1
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wandb:
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entity: ${oc.env:DPPO_WANDB_ENTITY}
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project: furniture-${task}-${randomness}-pretrain
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project: dppo-furniture-${task}-${randomness}-pretrain
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run: ${now:%H-%M-%S}_${name}
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train:
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@@ -39,7 +39,7 @@ env:
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wandb:
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entity: ${oc.env:DPPO_WANDB_ENTITY}
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project: gym-${env_name}-finetune
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project: dppo-gym-${env_name}-finetune
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run: ${now:%H-%M-%S}_${name}
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train:
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@@ -39,7 +39,7 @@ env:
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wandb:
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entity: ${oc.env:DPPO_WANDB_ENTITY}
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project: gym-${env_name}-finetune
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project: dppo-gym-${env_name}-finetune
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run: ${now:%H-%M-%S}_${name}
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train:
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@@ -39,7 +39,7 @@ env:
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wandb:
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entity: ${oc.env:DPPO_WANDB_ENTITY}
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project: gym-${env_name}-finetune
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project: dppo-gym-${env_name}-finetune
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run: ${now:%H-%M-%S}_${name}
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train:
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@@ -20,7 +20,7 @@ cond_steps: 1
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wandb:
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entity: ${oc.env:DPPO_WANDB_ENTITY}
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project: gym-${env}-pretrain
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project: dppo-gym-${env}-pretrain
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run: ${now:%H-%M-%S}_${name}
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train:
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@@ -20,7 +20,7 @@ cond_steps: 1
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wandb:
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entity: ${oc.env:DPPO_WANDB_ENTITY}
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project: gym-${env}-pretrain
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project: dppo-gym-${env}-pretrain
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run: ${now:%H-%M-%S}_${name}
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train:
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@@ -20,7 +20,7 @@ cond_steps: 1
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wandb:
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entity: ${oc.env:DPPO_WANDB_ENTITY}
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project: gym-${env}-pretrain
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project: dppo-gym-${env}-pretrain
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run: ${now:%H-%M-%S}_${name}
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train:
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@@ -20,7 +20,7 @@ cond_steps: 1
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wandb:
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entity: ${oc.env:DPPO_WANDB_ENTITY}
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project: robomimic-${env}-pretrain
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project: dppo-robomimic-${env}-pretrain
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run: ${now:%H-%M-%S}_${name}
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train:
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