Reliability is extremely important for large-scale cloud systems like
Mi...
The emergence of large language models (LLMs) has substantially influenc...
Large Language Model (LLM) has gained popularity and achieved remarkable...
Oversubscription is a common practice for improving cloud resource
utili...
Human-robot interactive decision-making is increasingly becoming ubiquit...
Recent successes of Reinforcement Learning (RL) allow an agent to learn
...
Since the first conference held in Marseille in 1982, ICLP has been the
...
We are proud to introduce this special issue of Theory and Practice of L...
Conventional reinforcement learning (RL) allows an agent to learn polici...
Machine learning is becoming an essential part of developing solutions f...
Task-motion planning (TMP) addresses the problem of efficiently generati...
Deep reinforcement learning (DRL) has gained great success by learning
d...
Deep reinforcement learning (DRL) has gained great success by learning
d...
Deep reinforcement learning has been widely applied in the field of robo...
Reinforcement learning and symbolic planning have both been used to buil...
Input languages of answer set solvers are based on the mathematically si...
We investigate the relationship between the generalization of program
co...
Generalized relational theories with null values in the sense of Reiter ...
Nonmonotonic causal logic, introduced by Norman McCain and Hudson Turner...