Krzysztof Choromanski*

Latest

• ES-ENAS: Blackbox Optimization over Hybrid Spaces via Combinatorial and Continuous Evolution
• Unlocking Pixels for Reinforcement Learning via Implicit Attention
• Towards Tractable Optimism in Model-Based Reinforcement Learning
• Effective Diversity in Population-Based Reinforcement Learning
• Learning to Score Behaviors for Guided Policy Optimization
• Ready Policy one: World Building Through Active Learning
• Stochastic Flows and Geometric Optimization on the Orthogonal Group
• Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes
• Provably Robust Blackbox Optimization for Reinforcement Learning
• From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization
• ES-MAML: Simple Hessian-Free Meta Learning
• Reinforcement Learning with Chromatic Networks for Compact Architecture Search
• Geometrically Coupled Monte Carlo Sampling