Jack Parker-Holder*

Latest

• Learning General World Models in a Handful of Reward-Free Deployments
• ES-ENAS: Blackbox Optimization over Hybrid Spaces via Combinatorial and Continuous Evolution
• Towards an Understanding of Default Policies in Multitask Policy Optimization
• Unlocking Pixels for Reinforcement Learning via Implicit Attention
• Towards Tractable Optimism in Model-Based Reinforcement Learning
• Tactical Optimism and Pessimism for Deep Reinforcement Learning
• Effective Diversity in Population-Based Reinforcement Learning
• Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian
• 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
• Taming the Herd: Multi-Modal Meta-Learning with a Population of Agents
• 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
• Reinforcement Learning with Chromatic Networks for Compact Architecture Search