Landmark Applications
AlphaGo, Atari, robotics, and milestone RL achievements.
AlphaGo and Board Games
From AlphaGo to AlphaZero: defeating world champions in Go, Chess, and Shogi through self-play and Monte Carlo Tree Search.
Atari and Arcade Games
DQN achieving human-level performance on 49 Atari games from raw pixels – the experiment that ignited the deep RL revolution.
Recommendation Systems
Modeling user interaction as a sequential decision problem – optimizing long-term engagement over immediate clicks.
Resource Optimization
Data center cooling, chip design, network routing – RL finding superhuman solutions to combinatorial optimization problems.
RL in Production
The engineering challenges of deploying RL systems: safety constraints, evaluation, monitoring, and the sim-to-real gap.
Robotics and Control
Sim-to-real transfer, dexterous manipulation, and locomotion – bridging the gap between simulation and physical robots.