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cs.LG2021
Neural Variational Gradient Descent
Lauro Langosco di Langosco, Vincent Fortuin, Heiko Strathmann
Particle-based approximate Bayesian inference approaches such as Stein Variational Gradient Descent (SVGD) combine the flexibility and convergence guarantees of sampling methods wi…
cs.LG2021★ 23 cited
Goal Misgeneralization in Deep Reinforcement Learning
Lauro Langosco, Jack Koch, Lee Sharkey +3
We study goal misgeneralization, a type of out-of-distribution generalization failure in reinforcement learning (RL). Goal misgeneralization failures occur when an RL agent retains…