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Efficient Soft Actor-Critic with LLM-Based Action-Level Guidance for Continuous Control
Arxiv
0+阅读 · 3月18日
Selecting Offline Reinforcement Learning Algorithms for Stochastic Network Control
Arxiv
0+阅读 · 3月4日
CAE: Repurposing the Critic as an Explorer in Deep Reinforcement Learning
Arxiv
0+阅读 · 2月20日
f-GRPO and Beyond: Divergence-Based Reinforcement Learning Algorithms for General LLM Alignment
Arxiv
0+阅读 · 2月9日
A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control
Arxiv
0+阅读 · 2月9日
$f$-GRPO and Beyond: Divergence-Based Reinforcement Learning Algorithms for General LLM Alignment
$f$-GRPO and Beyond: Divergence-Based Reinforcement Learning Algorithms for General LLM Alignment
Arxiv
0+阅读 · 2月5日
Prompt Augmentation Scales up GRPO Training on Mathematical Reasoning
Arxiv
0+阅读 · 2月5日
The Enhanced Physics-Informed Kolmogorov-Arnold Networks: Applications of Newton's Laws in Financial Deep Reinforcement Learning (RL) Algorithms
Arxiv
0+阅读 · 2月5日
An Approximate Ascent Approach To Prove Convergence of PPO
Arxiv
0+阅读 · 2月3日
PolicyFlow: Policy Optimization with Continuous Normalizing Flow in Reinforcement Learning
Arxiv
0+阅读 · 2月1日
Prompt Augmentation Scales up GRPO Training on Mathematical Reasoning
Arxiv
0+阅读 · 2月3日
The Enhanced Physics-Informed Kolmogorov-Arnold Networks: Applications of Newton's Laws in Financial Deep Reinforcement Learning (RL) Algorithms
Arxiv
0+阅读 · 2月1日
TL-GRPO: Turn-Level RL for Reasoning-Guided Iterative Optimization
Arxiv
0+阅读 · 1月23日
Provably Safe Reinforcement Learning for Stochastic Reach-Avoid Problems with Entropy Regularization
Arxiv
0+阅读 · 1月15日
Provably Safe Reinforcement Learning using Entropy Regularizer
Arxiv
0+阅读 · 1月13日
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