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TD 1 Reinforcement Learning
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Masmoudi Hamza
TD 1 Reinforcement Learning
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57b24963
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57b24963
authored
2 months ago
by
Masmoudi Hamza
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@@ -14,8 +14,8 @@ To set up a Python virtual environment, use the following commands:
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@@ -14,8 +14,8 @@ To set up a Python virtual environment, use the following commands:
python -m venv venv source venv/bin/activate # On macOS/Linux venv
\S
cripts
\a
ctivate # On Windows
python -m venv venv source venv/bin/activate # On macOS/Linux venv
\S
cripts
\a
ctivate # On Windows
bash
bash
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### Required Libraries
### Required Libraries
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@@ -24,18 +24,29 @@ Install the necessary libraries with the following command:
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@@ -24,18 +24,29 @@ Install the necessary libraries with the following command:
pip install gymnasium stable-baselines3 wandb panda-gym torch matplotlib
pip install gymnasium stable-baselines3 wandb panda-gym torch matplotlib
csharp
csharp
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## Project Structure
## Project Structure
The project is organized as follows:
The project is organized as follows:
. ├── README.md ├── a2c_sb3_cartpole.py ├── a2c_sb3_panda_reach.py ├── evaluate_reinforce_cartpole.py ├── reinforce_cartpole.py ├── reward_plot.png ├── script_hub.py ├── test.py ├── training_wandb.py ├── venv └── wandb
.
├── README.md
├── a2c_sb3_cartpole.py
├── a2c_sb3_panda_reach.py
├── evaluate_reinforce_cartpole.py
├── reinforce_cartpole.py
├── reward_plot.png
├── script_hub.py
├── test.py
├── training_wandb.py
├── venv
└── wandb
markdown
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## Experiment Tracking
## Experiment Tracking
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@@ -60,8 +71,8 @@ To run the CartPole experiment, use the following command:
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@@ -60,8 +71,8 @@ To run the CartPole experiment, use the following command:
python a2c_sb3_cartpole.py
python a2c_sb3_cartpole.py
bash
bash
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### Running the Panda Reach Experiment
### Running the Panda Reach Experiment
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@@ -70,8 +81,8 @@ To run the Panda Reach experiment, use the following command:
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@@ -70,8 +81,8 @@ To run the Panda Reach experiment, use the following command:
python a2c_sb3_panda_reach.py
python a2c_sb3_panda_reach.py
yaml
yaml
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### Evaluating the CartPole Model
### Evaluating the CartPole Model
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@@ -80,8 +91,8 @@ To evaluate the CartPole model, use the following command:
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@@ -80,8 +91,8 @@ To evaluate the CartPole model, use the following command:
python evaluate_reinforce_cartpole.py
python evaluate_reinforce_cartpole.py
shell
shell
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## Results
## Results
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