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sample efficiency

678 papers

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Co-occurring keywords · papers mentioning both

reinforcement learning (179) deep reinforcement learning (86) model-based reinforcement learning (79) continuous control (47) policy optimization (44) representation learning (43) policy gradient (37) imitation learning (29) value function (29) off-policy learning (29)

Papers

TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making EMNLP 2025 To Label or Not to Label: PALM - A Predictive Model for Evaluating Sample Efficiency in Active Learning Models ICCV 2025 Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning EMNLP 2025 Unlocking the Planning Capabilities of Large Language Models with Maximum Diversity Fine-tuning NAACL 2025 Unpacking Let Alone: Human-Scale Models Generalize to a Rare Construction in Form but not Meaning EMNLP 2025 VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning CVPR 2025 Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained Settings EMNLP 2025 When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning? AAAI 2025 Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers ICLR 2024 Active preference learning for ordering items in- and out-of-sample NeurIPS 2024 Active Statistical Inference ICML 2024 Adaptive Experiment Design with Synthetic Controls AISTATS 2024 Adaptive Instrument Design for Indirect Experiments ICLR 2024 Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment ICML 2024 Adversarial Imitation Learning via Boosting ICLR 2024 A General Framework for User-Guided Bayesian Optimization ICLR 2024 An invariant information geometric method for high-dimensional online optimization L4DC 2024 An investigation of time reversal symmetry in reinforcement learning L4DC 2024 Approximately Equivariant Neural Processes NeurIPS 2024 A theoretical design of concept sets: improving the predictability of concept bottleneck models NeurIPS 2024 A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback ICML 2024 Averaging n-step Returns Reduces Variance in Reinforcement Learning ICML 2024 BabyHGRN: Exploring RNNs for Sample-Efficient Language Modeling CoNLL 2024 Better & Faster Large Language Models via Multi-token Prediction ICML 2024 Blending Imitation and Reinforcement Learning for Robust Policy Improvement ICLR 2024