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Found 3 papers, 1 papers with code
Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences
Efficient utilization of the replay buffer plays a significant role in the off-policy actor-critic reinforcement learning (RL) algorithms used for model-free control policy synthesis for complex dynamical systems.
STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning
To address this, we provide a systematic way of generating rewards in real-time by using the quantitative semantics of Signal Temporal Logic (STL), a widely used temporal logic to specify the behaviour of cyber-physical systems.
Single-Document Summarization Using Sentence Embeddings and K-Means Clustering
This paper proposes a novel method for extractive single document summarization using K-Means clustering and Sentence Embeddings.
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