MATLAB RL Inverted Pendulum Guidance -- 2
Budget: ₹600 – ₹1,000 INR
I’m working on an inverted-pendulum project that must run entirely in MATLAB, and I want to understand every step rather than just hand the work off. Your role is to walk me through the process while also supplying code and artefacts I can study and reuse.
Here’s where I need the most help:
• Simulation setup – building or refining the MATLAB/Simulink environment so the pendulum dynamics talk cleanly to the Reinforcement Learning Toolbox.
• Training the RL agent – choosing a suitable algorithm (PPO, DDPG or what you recommend), tuning hyper-parameters, and getting the agent to balance reliably.
• Plotting results – reward curves, angle trajectories, control effort and any additional plots you feel strengthen the analysis.
Deliverables I expect at the end of our collaboration:
• Well-commented MATLAB scripts or Simulink models for the environment and the trained agent.
• Saved figures and code for regenerating all plots.
• A concise PowerPoint template and short report outline that pull the key visuals and explanations together.
• A brief hand-off session or recorded walk-through so I’m comfortable presenting and modifying the work.
Please let me know:
1. A short summary of your experience with MATLAB’s Reinforcement Learning Toolbox (or equivalent custom setups).
2. How you would structure the timeline and any milestones to keep us on track.
I’m ready to start right away and would like to wrap up in roughly two weeks, but I can adjust if you explain why more time is beneficial.
Here’s where I need the most help:
• Simulation setup – building or refining the MATLAB/Simulink environment so the pendulum dynamics talk cleanly to the Reinforcement Learning Toolbox.
• Training the RL agent – choosing a suitable algorithm (PPO, DDPG or what you recommend), tuning hyper-parameters, and getting the agent to balance reliably.
• Plotting results – reward curves, angle trajectories, control effort and any additional plots you feel strengthen the analysis.
Deliverables I expect at the end of our collaboration:
• Well-commented MATLAB scripts or Simulink models for the environment and the trained agent.
• Saved figures and code for regenerating all plots.
• A concise PowerPoint template and short report outline that pull the key visuals and explanations together.
• A brief hand-off session or recorded walk-through so I’m comfortable presenting and modifying the work.
Please let me know:
1. A short summary of your experience with MATLAB’s Reinforcement Learning Toolbox (or equivalent custom setups).
2. How you would structure the timeline and any milestones to keep us on track.
I’m ready to start right away and would like to wrap up in roughly two weeks, but I can adjust if you explain why more time is beneficial.