Lancelot Da Costa

model discovery

structure learning

causal representation learning

world model learning

program synthesis

program induction

program search

computational cognitive science

cognitive reinforcement learning

theory based reinforcement learning

inductive biases

core knowledge priors

Bayesian models of cognition

agents

active inference

world models

model based reinforcement learning

Bayesian decision-making

information theoretic objectives

curiosity

active learning

stochastic processes

Markov processes

Markov-Chain Monte-Carlo methods

stochastic differential equations