I will design and train custom reinforcement learning agents

Turn data into decisions with a reinforcement learning agent built specifically for your problem, not a generic template.

I bring hands-on quantitative modeling experience from real market-risk work, applying the same rigor to RL: agents that reflect the actual costs and constraints of your use case, not just textbook examples.

What you get:

• Your problem framed as a Markov Decision Process, with the right algorithm chosen (PPO, DQN, SAC, A2C)
• A custom or adapted Gym-style environment wired to your data
• Clean, documented Python code and reproducible experiments
• Learning-curve visuals and a clear results report
• Optional Docker packaging for one-command deployment

Best for: trading strategy research, resource allocation, process control, or any sequential decision problem with a measurable reward signal.

Message me with your use case before ordering, I'll confirm feasibility and recommend the right package for you.