sample efficiency

SafeDreamer: Safe Reinforcement Learning with World Models ICLR 2024 Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity ICLR 2024 Sample-efficient Adversarial Imitation Learning JMLR 2024 Sample-efficient Bayesian Optimisation Using Known Invariances NeurIPS 2024 Sample-Efficient Constrained Reinforcement Learning with General Parameterization NeurIPS 2024 Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight ICLR 2024 Sample-Efficient Multi-Agent RL: An Optimization Perspective ICLR 2024 Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks ICLR 2024 Sample-Efficient Quality-Diversity by Cooperative Coevolution ICLR 2024 Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic ICML 2024 SEL-BALD: Deep Bayesian Active Learning with Selective Labels NeurIPS 2024 Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models EMNLP 2024 Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts NeurIPS 2024 SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning ICML 2024 Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024 Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization ICML 2024 Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios ACL 2024 The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning NeurIPS 2024 Transductive Active Learning: Theory and Applications NeurIPS 2024 Tree Search-Based Policy Optimization under Stochastic Execution Delay ICLR 2024 Uncertainty-Aware Reward-Free Exploration with General Function Approximation ICML 2024 Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions ICLR 2024 Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning AAAI 2024 Variational Delayed Policy Optimization NeurIPS 2024 When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL NeurIPS 2024