entropy maximization

Inverse Reinforcement Learning with Explicit Policy Estimates AAAI 2021 Self-Conditioned Probabilistic Learning of Video Rescaling ICCV 2021 Stochastic Policy Optimization with Heuristic Information for Robot Learning CoRL 2021 An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020 Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling ICML 2020 Improving the Stability of the Knockoff Procedure: Multiple Simultaneous Knockoffs and Entropy Maximization AISTATS 2019 Leveraging exploration in off-policy algorithms via normalizing flows CoRL 2019 Reducing Network Agnostophobia NeurIPS 2018 On Greedy Maximization of Entropy ICML 2015 Persistent Monitoring of Stochastic Spatio-temporal Phenomena with a Small Team of Robots RSS 2014 Dynamic visual attention: searching for coding length increments NeurIPS 2008 MISEP -- Linear and Nonlinear ICA Based on Mutual Information JMLR 2003