Zhang-Wei Hong is a reinforcement learning researcher and a Principal Investigator (PI) at the MIT-IBM Watson AI Lab. They hold an MIT EECS PhD.

Hong's research primarily lies at the intersection of reinforcement learning and robotics. Their work has covered various topics within reinforcement learning, including multi-agent reinforcement learning, sim-to-real transfer, exploration strategy for RL, inverse dynamics model learning, and swarm intelligence-inspired reinforcement learning.