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

A Reduction-based Framework for Sequential Decision Making with Delayed Feedback NIPS 2023

Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL NIPS 2023

Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning ICML 2023

Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning NIPS 2023

Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents NIPS 2023

State Sequences Prediction via Fourier Transform for Representation Learning NIPS 2023

Sample Efficient Model-free Reinforcement Learning from LTL Specifications with Optimality Guarantees IJCAI 2023

On the Reuse Bias in Off-Policy Reinforcement Learning IJCAI 2023

Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency EMNLP 2023

Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck NIPS 2023

Demonstrating A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning RSS 2023

Provably Efficient Algorithm for Nonstationary Low-Rank MDPs NIPS 2023

An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning ICML 2023

Deep Off-Policy Iterative Learning Control L4DC 2023

Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback NIPS 2023

Blessing of Class Diversity in Pre-training AISTATS 2023

Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation ICML 2023

REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation CORL 2023

The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model Pretraining EMNLP 2023

Continual Vision-based Reinforcement Learning with Group Symmetries CORL 2023

On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills CORL 2023

Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards CORL 2023

Let’s Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs EMNLP 2023

Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process ICML 2023

On Many-Actions Policy Gradient ICML 2023