… energy-based model (EBM), in this paper, we propose a simplified IL framework named
Energy-Based Imitation Learning … adversarial style energy-based algorithm for imitation learning, …

… learning, one solution is simply to repurpose such existing algorithms—including classic
inverse reinforcement learning and more recent adversarial imitation learning … imitation learning …

… to perform imitation learning in recommender system, and as a result the energy-based GANs
… This difference also allows us to link imitation learning to energy-based GANs rather than …

… : Section 2 outlines the concepts of reinforcement learning and imitation learning, and
explains the adversarial generative imitation learning method. Section 3 presents a comparative …

… We propose a method for learning expressive energy-based policies for continuous
states … to learning maximum entropy policies, resulting into a new algorithm, called soft Q-learning, …

… To realize IL and RL at the same time, we propose that the agent calculate Free Energy-based
losses for given expert data and collected agent data. The overall loss function of Deep …

… In this paper, we propose energy-based generative adversarial imitation learning which
views the discriminator as an energy function without explicit probabilistic interpretation. The …

… under different initial configurations (task of imitation learning), recognize similar events, or
… model or inverse reinforcement learning approaches, which typically also learn an explicit …

… learning from an expert’s behavior through imitation is often more appealing. This is where
imitation learning … where desired behavior is learned by imitating an expert’s behavior, which …

… modeling, learning costs has long been studied in control and reinforcement learning (RL)
domains, typically for imitation learning from demonstrations. In these fields, learning the cost …