At RSJ2021, I and my students presented following five contents.
“Integration of Exponential Moving Average with Reinforcement Learning” “Risk-reduction Reinforcement Learning based on Forward Kullback-Leibler Divergence” “Sparse Latent Space by Tsallis-statistics-based Variational Autoencoder” “Sampling-based Model Predictive Control with Asymmetry of Kullback-Leibler Divergence” “Bias-Variance Adjustment with Policy-gradient-based Meta Optimization for Stochastic Model Learning”