Improving the Diversity of Bootstrapped DQN by Replacing Priors With Noise
Fuente:
arXiv
Saved in:
| Main Authors: | Meng, Li, Goodwin, Morten, Yazidi, Anis, Engelstad, Paal |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
by: Meng, Li, et al.
Published: (2021)
by: Meng, Li, et al.
Published: (2021)
Deep Reinforcement Learning with Swin Transformers
by: Meng, Li, et al.
Published: (2022)
by: Meng, Li, et al.
Published: (2022)
Maximum Manifold Capacity Representations in State Representation Learning
by: Meng, Li, et al.
Published: (2024)
by: Meng, Li, et al.
Published: (2024)
State Representation Learning Using an Unbalanced Atlas
by: Meng, Li, et al.
Published: (2023)
by: Meng, Li, et al.
Published: (2023)
A Manifold Representation of the Key in Vision Transformers
by: Meng, Li, et al.
Published: (2024)
by: Meng, Li, et al.
Published: (2024)
Value of Information-Enhanced Exploration in Bootstrapped DQN
by: Plataniotis, Stergios, et al.
Published: (2025)
by: Plataniotis, Stergios, et al.
Published: (2025)
Multi-Horizon Time Series Forecasting of non-parametric CDFs with Deep Lattice Networks
by: Erdmann, Niklas, et al.
Published: (2025)
by: Erdmann, Niklas, et al.
Published: (2025)
$β$-DQN: Improving Deep Q-Learning By Evolving the Behavior
by: Zhang, Hongming, et al.
Published: (2025)
by: Zhang, Hongming, et al.
Published: (2025)
A Controlled Study of Double DQN and Dueling DQN Under Cross-Environment Transfer
by: Nasir, Azkaa, et al.
Published: (2026)
by: Nasir, Azkaa, et al.
Published: (2026)
From Video to EEG: Adapting Joint Embedding Predictive Architecture to Uncover Saptiotemporal Dynamics in Brain Signal Analysis
by: Hojjati, Amirabbas, et al.
Published: (2025)
by: Hojjati, Amirabbas, et al.
Published: (2025)
NoiseAR: AutoRegressing Initial Noise Prior for Diffusion Models
by: Li, Zeming, et al.
Published: (2025)
by: Li, Zeming, et al.
Published: (2025)
Beyond ReLU: Chebyshev-DQN for Enhanced Deep Q-Networks
by: Yazdannik, Saman, et al.
Published: (2025)
by: Yazdannik, Saman, et al.
Published: (2025)
Explainability of Complex AI Models with Correlation Impact Ratio
by: Sengupta, Poushali, et al.
Published: (2026)
by: Sengupta, Poushali, et al.
Published: (2026)
BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy Matching
by: OuYang, RuiKang, et al.
Published: (2024)
by: OuYang, RuiKang, et al.
Published: (2024)
DQN Performance with Epsilon Greedy Policies and Prioritized Experience Replay
by: Perkins, Daniel, et al.
Published: (2025)
by: Perkins, Daniel, et al.
Published: (2025)
Hybrid DQN-TD3 Reinforcement Learning for Autonomous Navigation in Dynamic Environments
by: He, Xiaoyi, et al.
Published: (2025)
by: He, Xiaoyi, et al.
Published: (2025)
Smart Sampling: Self-Attention and Bootstrapping for Improved Ensembled Q-Learning
by: Khan, Muhammad Junaid, et al.
Published: (2024)
by: Khan, Muhammad Junaid, et al.
Published: (2024)
Unity by Diversity: Improved Representation Learning in Multimodal VAEs
by: Sutter, Thomas M., et al.
Published: (2024)
by: Sutter, Thomas M., et al.
Published: (2024)
Multi-Objective Hardware Aware Neural Architecture Search using Hardware Cost Diversity
by: Sinha, Nilotpal, et al.
Published: (2024)
by: Sinha, Nilotpal, et al.
Published: (2024)
Bootstrapped Reward Shaping
by: Adamczyk, Jacob, et al.
Published: (2025)
by: Adamczyk, Jacob, et al.
Published: (2025)
Ensemble Elastic DQN: A novel multi-step ensemble approach to address overestimation in deep value-based reinforcement learning
by: Ly, Adrian, et al.
Published: (2025)
by: Ly, Adrian, et al.
Published: (2025)
AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement
by: Aggarwal, Pranjal, et al.
Published: (2024)
by: Aggarwal, Pranjal, et al.
Published: (2024)
Bootstrapping Expectiles in Reinforcement Learning
by: Clavier, Pierre, et al.
Published: (2024)
by: Clavier, Pierre, et al.
Published: (2024)
Imitation Bootstrapped Reinforcement Learning
by: Hu, Hengyuan, et al.
Published: (2023)
by: Hu, Hengyuan, et al.
Published: (2023)
Decentralized Semantic Traffic Control in AVs Using RL and DQN for Dynamic Roadblocks
by: Figetakis, Emanuel, et al.
Published: (2024)
by: Figetakis, Emanuel, et al.
Published: (2024)
Learn-by-Wire Training Control Governance: Bounded Autonomous Training Under Stress for Stability and Efficiency
by: Radianis, Anis
Published: (2026)
by: Radianis, Anis
Published: (2026)
Majority of the Bests: Improving Best-of-N via Bootstrapping
by: Rakhsha, Amin, et al.
Published: (2025)
by: Rakhsha, Amin, et al.
Published: (2025)
Bootstrap SGD: Algorithmic Stability and Robustness
by: Christmann, Andreas, et al.
Published: (2024)
by: Christmann, Andreas, et al.
Published: (2024)
DQNC2S: DQN-based Cross-stream Crisis event Summarizer
by: Cambrin, Daniele Rege, et al.
Published: (2024)
by: Cambrin, Daniele Rege, et al.
Published: (2024)
LANPO: Bootstrapping Language and Numerical Feedback for Reinforcement Learning in LLMs
by: Li, Ang, et al.
Published: (2025)
by: Li, Ang, et al.
Published: (2025)
Bootstrap Off-policy with World Model
by: Zhan, Guojian, et al.
Published: (2025)
by: Zhan, Guojian, et al.
Published: (2025)
Inverse Deep Learning Ray Tracing for Heliostat Surface Prediction
by: Lewen, Jan, et al.
Published: (2024)
by: Lewen, Jan, et al.
Published: (2024)
Masked Generative Priors Improve World Models Sequence Modelling Capabilities
by: Meo, Cristian, et al.
Published: (2024)
by: Meo, Cristian, et al.
Published: (2024)
IDOL: Meeting Diverse Distribution Shifts with Prior Physics for Tropical Cyclone Multi-Task Estimation
by: Yan, Hanting, et al.
Published: (2025)
by: Yan, Hanting, et al.
Published: (2025)
Loss- and Reward-Weighting for Efficient Distributed Reinforcement Learning
by: Holen, Martin, et al.
Published: (2023)
by: Holen, Martin, et al.
Published: (2023)
Bootstrapped Model Predictive Control
by: Wang, Yuhang, et al.
Published: (2025)
by: Wang, Yuhang, et al.
Published: (2025)
Flattening Hierarchies with Policy Bootstrapping
by: Zhou, John L., et al.
Published: (2025)
by: Zhou, John L., et al.
Published: (2025)
GANs Conditioning Methods: A Survey
by: Bourou, Anis, et al.
Published: (2024)
by: Bourou, Anis, et al.
Published: (2024)
Improving Noise Robustness through Abstractions and its Impact on Machine Learning
by: Ibias, Alfredo, et al.
Published: (2024)
by: Ibias, Alfredo, et al.
Published: (2024)
Bootstrapping LLMs via Preference-Based Policy Optimization
by: Jia, Chen
Published: (2025)
by: Jia, Chen
Published: (2025)
Similar Items
-
Expert Q-learning: Deep Reinforcement Learning with Coarse State Values from Offline Expert Examples
by: Meng, Li, et al.
Published: (2021) -
Deep Reinforcement Learning with Swin Transformers
by: Meng, Li, et al.
Published: (2022) -
Maximum Manifold Capacity Representations in State Representation Learning
by: Meng, Li, et al.
Published: (2024) -
State Representation Learning Using an Unbalanced Atlas
by: Meng, Li, et al.
Published: (2023) -
A Manifold Representation of the Key in Vision Transformers
by: Meng, Li, et al.
Published: (2024)