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sample-efficient learning

43 papers

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Co-occurring keywords

reinforcement learning (4352) sample efficiency (472) sample complexity (1169) model-based reinforcement learning (415) markov decision process (790) regret bound (1926) value function approximation (100) policy optimization (657) few-shot learning (3398) motion planning (385)

Papers

Analogical Structure, Minimal Contextual Cues and Contrastive Distractors: Input Design for Sample-Efficient Linguistic Rule Induction EACL 2026
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes AAAI 2025
Single layer tiny Co4 outpaces GPT-2 and GPT-BERT EMNLP 2025
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms NIPS 2024
The Power of Resets in Online Reinforcement Learning NIPS 2024
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models EMNLP 2024
On task-relevant loss functions in meta-reinforcement learning L4DC 2024
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora CONLL 2024
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment NIPS 2024
Stochastic Contextual Bandits with Long Horizon Rewards AAAI 2023
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models CORL 2023
UniFolding: Towards Sample-efficient, Scalable, and Generalizable Robotic Garment Folding CORL 2023
Tight Guarantees for Interactive Decision Making with the Decision-Estimation Coefficient COLT 2023
No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities AISTATS 2023
Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning EMNLP 2023
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing CORL 2023
Equivariant Reinforcement Learning under Partial Observability CORL 2023
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost ICML 2022
JueWu-MC: Playing Minecraft with Sample-efficient Hierarchical Reinforcement Learning IJCAI 2022
Sample-Efficient Reinforcement Learning of Partially Observable Markov Games NIPS 2022
Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games NIPS 2022
Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems ACL 2021
Mastering Atari Games with Limited Data NIPS 2021
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting NIPS 2021
Batch Value-function Approximation with Only Realizability ICML 2021