:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jiang, Nan, Li, Jinzhao, Xue, Yexiang
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2408.16999
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Approximating Pareto Frontiers in Stochastic Multi-Objective Optimization via Hashing and Randomization
by: Li, Jinzhao, et al.
Published: (2026)

Vertical Symbolic Regression via Deep Policy Gradient
by: Jiang, Nan, et al.
Published: (2024)

Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching
by: Jiang, Nan, et al.
Published: (2024)

EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph
by: Jiang, Nan, et al.
Published: (2025)

Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration With Provable Guarantees
by: Li, Jinzhao, et al.
Published: (2023)

Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits
by: Li, Jinzhao, et al.
Published: (2025)

Enforcing Constraints in Generative Sampling via Adaptive Correction Scheduling
by: Trupin, Noah, et al.
Published: (2026)

On the Convergence of Experience Replay in Policy Optimization: Characterizing Bias, Variance, and Finite-Time Convergence
by: Zheng, Hua, et al.
Published: (2021)

Zero-shot Imitation Learning by Latent Topology Mapping
by: Jacobson, Maxwell J., et al.
Published: (2026)

Label-NTK Alignments and A Tighter Convergence Bound in the NTK Regime
by: Marreddy, Ruchirinkil, et al.
Published: (2026)

Revisiting Experience Replayable Conditions
by: Kobayashi, Taisuke
Published: (2024)

Uncertainty Prioritized Experience Replay
by: Carrasco-Davis, Rodrigo, et al.
Published: (2025)

PG-3DGS: Optimizing 3D Gaussian Splatting to Satisfy Physics Objectives
by: Lee, Zachary, et al.
Published: (2026)

Maximum Entropy Hindsight Experience Replay
by: Crowder, Douglas C., et al.
Published: (2024)

Reliability-Adjusted Prioritized Experience Replay
by: Pleiss, Leonard S., et al.
Published: (2025)

VLM-Guided Experience Replay
by: Sharony, Elad, et al.
Published: (2026)

Experience Replay with Random Reshuffling
by: Fujita, Yasuhiro
Published: (2025)

ROER: Regularized Optimal Experience Replay
by: Li, Changling, et al.
Published: (2024)

Non-Uniform Memory Sampling in Experience Replay
by: Krutsylo, Andrii
Published: (2025)

Efficient RL Training for LLMs with Experience Replay
by: Arnal, Charles, et al.
Published: (2026)

On the Limitation and Experience Replay for GNNs in Continual Learning
by: Su, Junwei, et al.
Published: (2023)

Variance Reduction via Resampling and Experience Replay
by: Han, Jiale, et al.
Published: (2025)

AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning
by: Li, Xingyu, et al.
Published: (2023)

Hindsight Experience Replay Accelerates Proximal Policy Optimization
by: Crowder, Douglas C., et al.
Published: (2024)

Variance Reduction Based Experience Replay for Policy Optimization
by: Zheng, Hua, et al.
Published: (2026)

Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation
by: Jacobson, Maxwell Joseph, et al.
Published: (2023)

Tighter Generalisation Bounds via Interpolation
by: Viallard, Paul, et al.
Published: (2024)

Tighter sparse variational Gaussian processes
by: Bui, Thang D., et al.
Published: (2025)

Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory
by: Liu, Yexiang, et al.
Published: (2025)

Efficient Diversity-based Experience Replay for Deep Reinforcement Learning
by: Zhao, Kaiyan, et al.
Published: (2024)

OER: Offline Experience Replay for Continual Offline Reinforcement Learning
by: Gai, Sibo, et al.
Published: (2023)

Preliminary Tests of the Anticipatory Classifier System with Hindsight Experience Replay
by: Unold, Olgierd, et al.
Published: (2026)

Tighter Confidence Bounds for Sequential Kernel Regression
by: Flynn, Hamish, et al.
Published: (2024)

Mastering the Game of Go with Self-play Experience Replay
by: Liu, Jingbin, et al.
Published: (2026)

CIER: A Novel Experience Replay Approach with Causal Inference in Deep Reinforcement Learning
by: Wang, Jingwen, et al.
Published: (2024)

Catastrophic Forgetting Mitigation via Discrepancy-Weighted Experience Replay
by: Xu, Xinrun, et al.
Published: (2025)

Tighter Risk Bounds for Mixtures of Experts
by: Akretche, Wissam, et al.
Published: (2024)

IDER: IDempotent Experience Replay for Reliable Continual Learning
by: Liu, Zhanwang, et al.
Published: (2026)

Enabling On-Device Learning via Experience Replay with Efficient Dataset Condensation
by: Xu, Gelei, et al.
Published: (2024)

Associative Memory Based Experience Replay for Deep Reinforcement Learning
by: Li, Mengyuan, et al.
Published: (2022)