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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

Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions AAAI 2026
State Proficiency-Based Adaptive Fine-Tuning for Offline-to-Online Reinforcement Learning AAAI 2026
Latent State-Predictive Exploration for Deep Reinforcement Learning AAAI 2026
MARPO: A Reflective Policy Optimization for Multi-Agent Reinforcement Learning AAAI 2026
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning EACL 2026
Memory Based Advantage Shaping for LLM-Guided Reinforcement Learning (Student Abstract) AAAI 2026
Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning AAAI 2026
CRISP: Curriculum-Inducing Primitive Informed Subgoal Prediction for Boosting Hierarchical Reinforcement Learning AAAI 2026
PSPO: Prompt-Level Prioritization and Experience-Weighted Smoothing for Efficient Policy Optimization AAAI 2026
Efficient Solution and Learning of Robust Factored MDPs AAAI 2026
Unpacking Let Alone: Human-Scale Models Generalize to a Rare Construction in Form but not Meaning EMNLP 2025
A Case for Validation Buffer in Pessimistic Actor-Critic IJCAI 2025
TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making EMNLP 2025
Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained Settings EMNLP 2025
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models AAAI 2025
De Novo Molecular and Crystal Design with Latent Space Bayesian Optimization AAAI 2025
Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning CVPR 2025
Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition AAAI 2025
CTD4 – a Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics AAAI 2025
To Label or Not to Label: PALM - A Predictive Model for Evaluating Sample Efficiency in Active Learning Models ICCV 2025
Unlocking the Planning Capabilities of Large Language Models with Maximum Diversity Fine-tuning NAACL 2025
ModernBERT or DeBERTaV3? Examining Architecture and Data Influence on Transformer Encoder Models Performance IJCNLP 2025
Sample-Efficient Behavior Cloning Using General Domain Knowledge IJCAI 2025
From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts ACL 2025
Single-Loop Federated Actor-Critic across Heterogeneous Environments AAAI 2025