sample efficiency

Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer ICLR 2023 Let’s Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs EMNLP 2023 Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy ICML 2023 Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL NeurIPS 2023 Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling ICML 2023 Making Better Decision by Directly Planning in Continuous Control ICLR 2023 Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration NeurIPS 2023 Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning AAAI 2023 Model-Based Reinforcement Learning for Cavity Filter Tuning L4DC 2023 MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations ICLR 2023 Multi-objective optimization via equivariant deep hypervolume approximation ICLR 2023 Multiple-policy High-confidence Policy Evaluation AISTATS 2023 Multi-Task Imitation Learning for Linear Dynamical Systems L4DC 2023 Neural Episodic Control with State Abstraction ICLR 2023 No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities AISTATS 2023 Off-Policy Proximal Policy Optimization AAAI 2023 On Many-Actions Policy Gradient ICML 2023 On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond NeurIPS 2023 On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning ICLR 2023 On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning ICLR 2023 On the Reuse Bias in Off-Policy Reinforcement Learning IJCAI 2023 On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills CoRL 2023 Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning ICML 2023 Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning ICML 2023 Order Matters: Agent-by-agent Policy Optimization ICLR 2023