Discovering Adaptable Symbolic Algorithms from Scratch

no code implementations • 31 Jul 2023 • Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real

We evolve modular policies that tune their model parameters and alter their inference algorithm on-the-fly to adapt to sudden environmental changes.

AutoML

Joint Perception and Control as Inference with an Object-based Implementation

no code implementations • 4 Mar 2019 • Minne Li, Zheng Tian, Pranav Nashikkar, Ian Davies, Ying Wen, Jun Wang

Existing model-based reinforcement learning methods often study perception modeling and decision making separately.

Bayesian Inference Decision Making +2