sample efficiency

Sample Efficiency of Data Augmentation Consistency Regularization AISTATS 2023 Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents NeurIPS 2023 Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees IJCAI 2023 Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards CoRL 2023 Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier ICLR 2023 Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks NeurIPS 2023 SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering RSS 2023 Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation ICML 2023 Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning ICCV 2023 Simplified Temporal Consistency Reinforcement Learning ICML 2023 Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective ICLR 2023 Soft Action Priors: Towards Robust Policy Transfer AAAI 2023 SpeedyZero: Mastering Atari with Limited Data and Time ICLR 2023 State Sequences Prediction via Fourier Transform for Representation Learning NeurIPS 2023 Synthetic Experience Replay NeurIPS 2023 The Benefits of Model-Based Generalization in Reinforcement Learning ICML 2023 The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining EMNLP 2023 Transformer-based World Models Are Happy With 100k Interactions ICLR 2023 Transformers are Sample-Efficient World Models ICLR 2023 Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy ICML 2023 Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks ICLR 2023 VA-learning as a more efficient alternative to Q-learning ICML 2023 Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning AAAI 2023 Variance Control for Distributional Reinforcement Learning ICML 2023 Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control AAAI 2023