Exploration and Anti-Exploration with Distributional Random Network Distillation
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Kai, Tao, Jian, Lyu, Jiafei, Li, Xiu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exploration by Random Distribution Distillation
by: Fang, Zhirui, et al.
Published: (2025)
by: Fang, Zhirui, et al.
Published: (2025)
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task Allocation
by: Gong, Aicheng, et al.
Published: (2024)
by: Gong, Aicheng, et al.
Published: (2024)
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning
by: Chen, Yangkun, et al.
Published: (2024)
by: Chen, Yangkun, et al.
Published: (2024)
Mind the Model, Not the Agent: The Primacy Bias in Model-based RL
by: Qiao, Zhongjian, et al.
Published: (2023)
by: Qiao, Zhongjian, et al.
Published: (2023)
Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence
by: Lyu, Jiafei, et al.
Published: (2024)
by: Lyu, Jiafei, et al.
Published: (2024)
Mildly Conservative Q-Learning for Offline Reinforcement Learning
by: Lyu, Jiafei, et al.
Published: (2022)
by: Lyu, Jiafei, et al.
Published: (2022)
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
by: Lyu, Jiafei, et al.
Published: (2024)
by: Lyu, Jiafei, et al.
Published: (2024)
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning
by: Qiao, Zhongjian, et al.
Published: (2024)
by: Qiao, Zhongjian, et al.
Published: (2024)
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
by: Liu, Runze, et al.
Published: (2023)
by: Liu, Runze, et al.
Published: (2023)
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
by: Yang, Kai, et al.
Published: (2023)
by: Yang, Kai, et al.
Published: (2023)
A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning
by: Sun, Shengjie, et al.
Published: (2024)
by: Sun, Shengjie, et al.
Published: (2024)
World Models with Hints of Large Language Models for Goal Achieving
by: Liu, Zeyuan, et al.
Published: (2024)
by: Liu, Zeyuan, et al.
Published: (2024)
Efficient Cross-Domain Offline Reinforcement Learning with Dynamics- and Value-Aligned Data Filtering
by: Qiao, Zhongjian, et al.
Published: (2025)
by: Qiao, Zhongjian, et al.
Published: (2025)
Exploration by Random Reward Perturbation
by: Ma, Haozhe, et al.
Published: (2025)
by: Ma, Haozhe, et al.
Published: (2025)
Constraint-Aware Flow Matching via Randomized Exploration
by: Huan, Zhengyan, et al.
Published: (2025)
by: Huan, Zhengyan, et al.
Published: (2025)
Bayesian Exploration Networks
by: Fellows, Mattie, et al.
Published: (2023)
by: Fellows, Mattie, et al.
Published: (2023)
VLP: Vision-Language Preference Learning for Embodied Manipulation
by: Liu, Runze, et al.
Published: (2025)
by: Liu, Runze, et al.
Published: (2025)
Random Latent Exploration for Deep Reinforcement Learning
by: Mahankali, Srinath, et al.
Published: (2024)
by: Mahankali, Srinath, et al.
Published: (2024)
Rebellious Student: Reversing Teacher Signals for Reasoning Exploration with Self-Distilled RLVR
by: Kim, Jeonghye, et al.
Published: (2026)
by: Kim, Jeonghye, et al.
Published: (2026)
Dual-Robust Cross-Domain Offline Reinforcement Learning Against Dynamics Shifts
by: Qiao, Zhongjian, et al.
Published: (2025)
by: Qiao, Zhongjian, et al.
Published: (2025)
SEABO: A Simple Search-Based Method for Offline Imitation Learning
by: Lyu, Jiafei, et al.
Published: (2024)
by: Lyu, Jiafei, et al.
Published: (2024)
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning
by: Hsu, Hao-Lun, et al.
Published: (2024)
by: Hsu, Hao-Lun, et al.
Published: (2024)
Temporal Difference Learning with Constrained Initial Representations
by: Lyu, Jiafei, et al.
Published: (2026)
by: Lyu, Jiafei, et al.
Published: (2026)
Cross-Domain Offline Policy Adaptation via Selective Transition Correction
by: Yan, Mengbei, et al.
Published: (2026)
by: Yan, Mengbei, et al.
Published: (2026)
KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies
by: Yang, Shih-Min, et al.
Published: (2025)
by: Yang, Shih-Min, et al.
Published: (2025)
Offline Model-Based Reinforcement Learning with Anti-Exploration
by: Srinivasan, Padmanaba, et al.
Published: (2024)
by: Srinivasan, Padmanaba, et al.
Published: (2024)
MiCo: End-to-End Mixed Precision Neural Network Co-Exploration Framework for Edge AI
by: Jiang, Zijun, et al.
Published: (2025)
by: Jiang, Zijun, et al.
Published: (2025)
In-Context Curiosity: Distilling Exploration for Decision-Pretrained Transformers on Bandit Tasks
by: Yang, Huitao, et al.
Published: (2025)
by: Yang, Huitao, et al.
Published: (2025)
Network Embedding Exploration Tool (NEExT)
by: Dehghan, Ashkan, et al.
Published: (2025)
by: Dehghan, Ashkan, et al.
Published: (2025)
ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning
by: Liu, Zeyuan, et al.
Published: (2025)
by: Liu, Zeyuan, et al.
Published: (2025)
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
by: Cho, Wooseong, et al.
Published: (2024)
by: Cho, Wooseong, et al.
Published: (2024)
The Exploration of Error Bounds in Classification with Noisy Labels
by: Liu, Haixia, et al.
Published: (2025)
by: Liu, Haixia, et al.
Published: (2025)
Embedding-perturbed Exploration Preference Optimization for Flow Models
by: Hu, Sujie, et al.
Published: (2026)
by: Hu, Sujie, et al.
Published: (2026)
On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration
by: Zhou, Yirui, et al.
Published: (2025)
by: Zhou, Yirui, et al.
Published: (2025)
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
by: Yue, Bo, et al.
Published: (2024)
by: Yue, Bo, et al.
Published: (2024)
PROF: An LLM-based Reward Code Preference Optimization Framework for Offline Imitation Learning
by: Sun, Shengjie, et al.
Published: (2025)
by: Sun, Shengjie, et al.
Published: (2025)
Bohdi: Heterogeneous LLM Fusion with Automatic Data Exploration
by: Gao, Junqi, et al.
Published: (2025)
by: Gao, Junqi, et al.
Published: (2025)
Distribution-Centric Policy Optimization Dominates Exploration-Exploitation Trade-off
by: Li, Zhaochun, et al.
Published: (2026)
by: Li, Zhaochun, et al.
Published: (2026)
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency
by: Salgia, Sudeep, et al.
Published: (2023)
by: Salgia, Sudeep, et al.
Published: (2023)
Diffusion Models as Network Optimizers: Explorations and Analysis
by: Liang, Ruihuai, et al.
Published: (2024)
by: Liang, Ruihuai, et al.
Published: (2024)
Similar Items
-
Exploration by Random Distribution Distillation
by: Fang, Zhirui, et al.
Published: (2025) -
A Two-stage Reinforcement Learning-based Approach for Multi-entity Task Allocation
by: Gong, Aicheng, et al.
Published: (2024) -
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning
by: Chen, Yangkun, et al.
Published: (2024) -
Mind the Model, Not the Agent: The Primacy Bias in Model-based RL
by: Qiao, Zhongjian, et al.
Published: (2023) -
Understanding What Affects the Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence
by: Lyu, Jiafei, et al.
Published: (2024)