CAMEL: Continuous Action Masking Enabled by Large Language Models for Reinforcement Learning
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Zhao, Yanxiao, Qian, Yangge, Shan, Jingyang, Qin, Xiaolin |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Snapshot Reinforcement Learning: Leveraging Prior Trajectories for Efficiency
par: Zhao, Yanxiao, et autres
Publié: (2024)
par: Zhao, Yanxiao, et autres
Publié: (2024)
Neuro-symbolic Action Masking for Deep Reinforcement Learning
par: Han, Shuai, et autres
Publié: (2026)
par: Han, Shuai, et autres
Publié: (2026)
Counterfactual Explanations for Continuous Action Reinforcement Learning
par: Dong, Shuyang, et autres
Publié: (2025)
par: Dong, Shuyang, et autres
Publié: (2025)
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning
par: Zhu, Yuanyang, et autres
Publié: (2024)
par: Zhu, Yuanyang, et autres
Publié: (2024)
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
par: Zhao, Yanxiao, et autres
Publié: (2025)
par: Zhao, Yanxiao, et autres
Publié: (2025)
On the Geometry of Reinforcement Learning in Continuous State and Action Spaces
par: Tiwari, Saket, et autres
Publié: (2022)
par: Tiwari, Saket, et autres
Publié: (2022)
Action-Adaptive Continual Learning: Enabling Policy Generalization under Dynamic Action Spaces
par: Pan, Chaofan, et autres
Publié: (2025)
par: Pan, Chaofan, et autres
Publié: (2025)
CRL-VLA: Continual Vision-Language-Action Learning
par: Zeng, Qixin, et autres
Publié: (2026)
par: Zeng, Qixin, et autres
Publié: (2026)
Geometry of Neural Reinforcement Learning in Continuous State and Action Spaces
par: Tiwari, Saket, et autres
Publié: (2025)
par: Tiwari, Saket, et autres
Publié: (2025)
Heuristic Algorithm-based Action Masking Reinforcement Learning (HAAM-RL) with Ensemble Inference Method
par: Choi, Kyuwon, et autres
Publié: (2024)
par: Choi, Kyuwon, et autres
Publié: (2024)
Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning
par: Zhao, Hanyang, et autres
Publié: (2025)
par: Zhao, Hanyang, et autres
Publié: (2025)
CAMEL-CLIP: Channel-aware Multimodal Electroencephalography-text Alignment for Generalizable Brain Foundation Models
par: Choi, Hanseul, et autres
Publié: (2026)
par: Choi, Hanseul, et autres
Publié: (2026)
Provably Efficient Action-Manipulation Attack Against Continuous Reinforcement Learning
par: Luo, Zhi, et autres
Publié: (2024)
par: Luo, Zhi, et autres
Publié: (2024)
On Predictability of Reinforcement Learning Dynamics for Large Language Models
par: Cai, Yuchen, et autres
Publié: (2025)
par: Cai, Yuchen, et autres
Publié: (2025)
Discovering Reinforcement Learning Interfaces with Large Language Models
par: Jaswal, Akshat Singh, et autres
Publié: (2026)
par: Jaswal, Akshat Singh, et autres
Publié: (2026)
Reinforcement Learning with Promising Tokens for Large Language Models
par: Pang, Jing-Cheng, et autres
Publié: (2026)
par: Pang, Jing-Cheng, et autres
Publié: (2026)
STABLE: Gated Continual Learning for Large Language Models
par: Hoy, William, et autres
Publié: (2025)
par: Hoy, William, et autres
Publié: (2025)
DLLM-Searcher: Adapting Diffusion Large Language Model for Search Agents
par: Zhao, Jiahao, et autres
Publié: (2026)
par: Zhao, Jiahao, et autres
Publié: (2026)
Action Mapping for Reinforcement Learning in Continuous Environments with Constraints
par: Theile, Mirco, et autres
Publié: (2024)
par: Theile, Mirco, et autres
Publié: (2024)
Internalizing Meta-Experience into Memory for Guided Reinforcement Learning in Large Language Models
par: Huang, Shiting, et autres
Publié: (2026)
par: Huang, Shiting, et autres
Publié: (2026)
An Advantage-based Optimization Method for Reinforcement Learning in Large Action Space
par: Lin, Hai, et autres
Publié: (2024)
par: Lin, Hai, et autres
Publié: (2024)
Model-based Reinforcement Learning for Parameterized Action Spaces
par: Zhang, Renhao, et autres
Publié: (2024)
par: Zhang, Renhao, et autres
Publié: (2024)
Efficient Reinforcement Learning for Large Language Models with Intrinsic Exploration
par: Sun, Yan, et autres
Publié: (2025)
par: Sun, Yan, et autres
Publié: (2025)
Continual Learning of Large Language Models: A Comprehensive Survey
par: Shi, Haizhou, et autres
Publié: (2024)
par: Shi, Haizhou, et autres
Publié: (2024)
Offline Regularised Reinforcement Learning for Large Language Models Alignment
par: Richemond, Pierre Harvey, et autres
Publié: (2024)
par: Richemond, Pierre Harvey, et autres
Publié: (2024)
RLAX: Large-Scale, Distributed Reinforcement Learning for Large Language Models on TPUs
par: Zhou, Runlong, et autres
Publié: (2025)
par: Zhou, Runlong, et autres
Publié: (2025)
Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model
par: Tu, Songjun, et autres
Publié: (2024)
par: Tu, Songjun, et autres
Publié: (2024)
Routing-Based Continual Learning for Multimodal Large Language Models
par: Mohta, Jay, et autres
Publié: (2025)
par: Mohta, Jay, et autres
Publié: (2025)
Pretrained Vision-Language-Action Models are Surprisingly Resistant to Forgetting in Continual Learning
par: Liu, Huihan, et autres
Publié: (2026)
par: Liu, Huihan, et autres
Publié: (2026)
Test-driven Reinforcement Learning in Continuous Control
par: Yu, Zhao, et autres
Publié: (2025)
par: Yu, Zhao, et autres
Publié: (2025)
Inverse Reinforcement Learning with Switching Rewards and History Dependency for Characterizing Animal Behaviors
par: Ke, Jingyang, et autres
Publié: (2025)
par: Ke, Jingyang, et autres
Publié: (2025)
Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning
par: Ma, Hao, et autres
Publié: (2025)
par: Ma, Hao, et autres
Publié: (2025)
Breaking the Grid: Distance-Guided Reinforcement Learning in Large Discrete Action Spaces
par: Hoppe, Heiko, et autres
Publié: (2026)
par: Hoppe, Heiko, et autres
Publié: (2026)
Integration of Large Language Models and Federated Learning
par: Chen, Chaochao, et autres
Publié: (2023)
par: Chen, Chaochao, et autres
Publié: (2023)
Large Continual Instruction Assistant
par: Qiao, Jingyang, et autres
Publié: (2024)
par: Qiao, Jingyang, et autres
Publié: (2024)
Mitigating Overthinking in Large Reasoning Models via Difficulty-aware Reinforcement Learning
par: Wan, Qian, et autres
Publié: (2026)
par: Wan, Qian, et autres
Publié: (2026)
Dynamic Adversarial Reinforcement Learning for Robust Multimodal Large Language Models
par: Bao, Yicheng, et autres
Publié: (2026)
par: Bao, Yicheng, et autres
Publié: (2026)
Evolutionary Discovery of Reinforcement Learning Algorithms via Large Language Models
par: Sygkounas, Alkis, et autres
Publié: (2026)
par: Sygkounas, Alkis, et autres
Publié: (2026)
Generalizable Multimodal Large Language Model Editing via Invariant Trajectory Learning
par: Su, Jiajie, et autres
Publié: (2026)
par: Su, Jiajie, et autres
Publié: (2026)
Trust Region Masking for Long-Horizon LLM Reinforcement Learning
par: Li, Yingru, et autres
Publié: (2025)
par: Li, Yingru, et autres
Publié: (2025)
Documents similaires
-
Snapshot Reinforcement Learning: Leveraging Prior Trajectories for Efficiency
par: Zhao, Yanxiao, et autres
Publié: (2024) -
Neuro-symbolic Action Masking for Deep Reinforcement Learning
par: Han, Shuai, et autres
Publié: (2026) -
Counterfactual Explanations for Continuous Action Reinforcement Learning
par: Dong, Shuyang, et autres
Publié: (2025) -
Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning
par: Zhu, Yuanyang, et autres
Publié: (2024) -
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
par: Zhao, Yanxiao, et autres
Publié: (2025)