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sample efficiency

469 papers

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Co-occurring keywords

reinforcement learning (4122) deep reinforcement learning (903) model-based reinforcement learning (415) representation learning (6174) policy gradient (518) policy optimization (630) continuous control (246) off-policy learning (227) value function (294) imitation learning (741)

Papers

Diffusion for World Modeling: Visual Details Matter in Atari NIPS 2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels NIPS 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning NIPS 2024
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization NIPS 2024
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning NIPS 2024
Adaptive Experiment Design with Synthetic Controls AISTATS 2024
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models EMNLP 2024
Data Distribution Valuation NIPS 2024
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward AAAI 2024
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance NIPS 2024
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning AAAI 2024
Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize AAAI 2024
Distributional Off-Policy Evaluation for Slate Recommendations AAAI 2024
Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract) AAAI 2024
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning AAAI 2024
MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders AAAI 2024
Poseidon: Efficient Foundation Models for PDEs NIPS 2024
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge IJCAI 2024
BabyHGRN: Exploring RNNs for Sample-Efficient Language Modeling CONLL 2024
Sample-efficient Bayesian Optimisation Using Known Invariances NIPS 2024
Multi-Objective Neural Architecture Search by Learning Search Space Partitions JMLR 2024
Meta-Reinforcement Learning via Exploratory Task Clustering AAAI 2024
Provable Partially Observable Reinforcement Learning with Privileged Information NIPS 2024
A theoretical design of concept sets: improving the predictability of concept bottleneck models NIPS 2024