Tomorrow’s Forum for AI will feature Bill Smart from Washington University in St. Louis, talking about value function approximation in reinforcement learning. I’m excited about this talk, since my research area is RL in continuous state spaces (i.e. the real world) and value function approximation is pretty much necessary to do RL in the real world. I’m particularly curious about moves toward convergence proofs for VFA. Look for a summary here over the weekend.
The talk will be at 10 a.m. in ACES 2.402. In case you can’t tell from the time of the talk, this won’t be a brown-bag lunch talk.