… intentions, and dynamics. In this letter, we propose a hierarchical driving model with explicit
models of continuous intention and continuous … Specifically, the continuous intention module …

… 3.2 Intention Learning In contrast to imitation learning, we define intention learning as a LfD
… Note that for the continuous state domains (mountain car and lunar lander), exact solutions …

… -intention imitation learning strategies from a series of unstructured demonstrations. Our
approach proposed a novel imitation … online continuous demonstrations with various intentions. …

… This paper focuses on dealing with the tasks that have continuous state and action spaces.
We define \(\pi :\mathcal {S}\times \mathcal {A}\rightarrow [0,1]\) as a stochastic policy and \(\…

… a family of imitation learning methods. The proposed methods are capable of learning the
position … optimization of the Q function, where g is considered to be a continuous variable. The …

… imitation learning algorithm to mimic these diverse intent-driven behaviors of experts. Iteratively,
our approach estimates expert intent … stable learning in tasks with large or continuous …

… scalability of imitation learning, we propose a framework that can learn to imitate skills from
a … and continuous latent variables to represent the latent intention. The advantage of using a …

… cost function over one minute of continuous driving. Results are evaluated … intent information
alleviates this ambiguity, the requirement of continuous expert provided high-level intention …

… Next, we test our model on the continuous control task Square depicted in Fig. 3(b), where
… Suboptimal Human Data for Continuous Control Our method outperforms all other methods …

… We aim to recognize the goal or intention of a video demonstration. Related problems have
… JC Niebles, “Continuous relaxation of symbolic planner for oneshot imitation learning,” in …