Work on cutting-edge problems from RLHF to Agentic Systems. Present at top-tier conferences and create tangible impact in your AI career.
Build strong foundations
Real-world applications
Top-tier conferences
Accelerate trajectory
A comprehensive program combining rigorous theory with practical research experience.
7 weeks of intensive foundations followed by 3 months of guided hands-on research.
Learn from leading researchers from MIT, Purdue, and IIT Madras with top-tier publications.
Work on cutting-edge problems in RL, from RLHF to agentic systems and robotics.
End-to-end guidance from problem formulation to conference submission.
Master the latest in RL, including RLHF, GRPO, and Agentic Systems.
Join an exclusive community of researchers and mentors for lifelong collaboration.
A rigorous deep dive into the mathematics and code of Reinforcement Learning.
MDP Framework, Bellman Equations, and PyTorch essentials for RL.
Solving Cart-Pole with Cross-Entropy and building Deep Q-Networks for Atari.
Policy gradient theory and hands-on implementation from scratch.
Reinforcement Learning from Human Feedback – the backbone of modern LLMs.
Group Relative Policy Optimization and building a reasoning model from scratch.
Understanding autonomous agents: Observe–Think–Act–Reflect loops.
Practical implementation combining LLMs with RL for goal-driven reasoning.
Focus on novel problems, experimentation, and paper writing with mentor support.
RL is powering the next generation of AI breakthroughs.
Combining vision, language, and action for advanced robotics applications.
Next-generation LLMs with enhanced reasoning capabilities through RL.
OpenAI O3 and visual reasoning models pushing AI boundaries.
Autonomous agents that reason, plan, and act in complex environments.
Experience-driven learning is reshaping how AI systems learn and evolve.
Using RL to align Small Language Models to human preferences.
Join our comprehensive program to master RL and publish impactful research.
One-time payment • All Inclusive
Join the next generation of RL researchers. Contact our program director today.