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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

DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models AAAI 2025
Distributional Off-Policy Evaluation for Slate Recommendations AAAI 2024
Meta-Reinforcement Learning via Exploratory Task Clustering AAAI 2024
Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic EMNLP 2024
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation NIPS 2024
Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning AAAI 2024
Cluster-Based Sampling in Hindsight Experience Replay for Robotic Tasks (Student Abstract) AAAI 2024
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation NIPS 2024
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search NIPS 2024
MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders AAAI 2024
CapsFusion: Rethinking Image-Text Data at Scale CVPR 2024
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning AAAI 2024
Sample-Efficient Constrained Reinforcement Learning with General Parameterization NIPS 2024
Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios ACL 2024
Recurrent Reinforcement Learning with Memoroids NIPS 2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL NIPS 2024
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward AAAI 2024
Limits of Transformer Language Models on Learning to Compose Algorithms NIPS 2024
Multi-Objective Neural Architecture Search by Learning Search Space Partitions JMLR 2024
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NIPS 2024
Imitation Bootstrapped Reinforcement Learning RSS 2024
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge IJCAI 2024
Variational Delayed Policy Optimization NIPS 2024
An invariant information geometric method for high-dimensional online optimization L4DC 2024
Adaptive Experiment Design with Synthetic Controls AISTATS 2024