DEVAI / instances /08_Robot_Control_PPO_PyBullet_RL.json
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{
"name": "08_Robot_Control_PPO_PyBullet_RL",
"query": "I am seeking to implement a project which explores robotic arm control via reinforcement learning in the PyBullet simulation environment with the PPO algorithm. The PyBullet simulator should be imported and a related robotics environment should be loaded in `src/env.py`. The PPO algorithm should be implemented in `src/train.py`. The project should meticulously document the robot's final position, printing and saving it as `data/final_position.txt`. The training return trajectory should be graphed and saved as `results/figures/training_returns.png`. A sample of the robot's motion should be visualized and saved as `results/figures/robot_motion.gif`. A detailed environment setup and reward structure description should be provided in `src/env.py`. Please ensure that any issues with loading URDF files in PyBullet are clearly handled and documented, providing clear error messages or logging for debugging.",
"tags": [
"Reinforcement Learning"
],
"requirements": [
{
"requirement_id": 0,
"prerequisites": [],
"criteria": "The \"PyBullet\" simulator is used in `src/env.py`.",
"category": "Dataset or Environment",
"satisfied": null
},
{
"requirement_id": 1,
"prerequisites": [],
"criteria": "The \"PPO\" algorithm is used in `src/train.py`.",
"category": "Machine Learning Method",
"satisfied": null
},
{
"requirement_id": 2,
"prerequisites": [
0
],
"criteria": "A detailed environment setup and reward structure description is provided in `src/env.py`.",
"category": "Dataset or Environment",
"satisfied": null
},
{
"requirement_id": 3,
"prerequisites": [
0,
1,
2
],
"criteria": "The robot's final position is printed and saved as `data/final_position.txt`.",
"category": "Other",
"satisfied": null
},
{
"requirement_id": 4,
"prerequisites": [
0,
1,
2
],
"criteria": "The training returns over time curve is recorded and saved as `results/figures/training_returns.png`.",
"category": "Visualization",
"satisfied": null
},
{
"requirement_id": 5,
"prerequisites": [
0,
1,
2
],
"criteria": "A sample of the robot's motion is visualized and saved as `results/figures/robot_motion.gif`.",
"category": "Visualization",
"satisfied": null
}
],
"preferences": [
{
"preference_id": 0,
"criteria": "The system should effectively handle potential issues with loading URDF files in PyBullet, providing clear error messages or logging for debugging.",
"satisfied": null
}
],
"is_kaggle_api_needed": false,
"is_training_needed": true,
"is_web_navigation_needed": false
}