Imitation learning Reinforcement Learning

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有關 Imitation learning Reinforcement Learning?tw 的學術文章scholar.google.com › citationsBridging Offline Reinforcement Learning and Imitation Learning: A ...2021年3月22日 · Offline (or batch) reinforcement learning (RL) algorithms seek to learn an optimal policy from a fixed dataset without active data collection. twCo-Imitation Learning without Expert Demonstration2021年3月27日 · Imitation learning is a primary approach to improve the efficiency of reinforcement learning by exploiting the expert demonstrations. However, ... twImitation Learning: A Survey of Learning Methods: ACM Computing ...Imitation learning techniques aim to mimic human behavior in a given task. An agent (a learning machine) is trained to perform a task from demonstrations by ... tw | twLearning for a Robot: Deep Reinforcement Learning, Imitation ...2021年2月11日 · Furthermore, deep reinforcement learning, imitation learning, ... J.H.; writing—review and editing, L.Z. and G.L. All authors have read and ...Sensors | Free Full-Text | Domain Adaptation for Imitation Learning ...On the other hand, Inverse Reinforcement Learning (IRL) [9] methods try to recover a reward function from the expert demonstrations [9,10,11,12]. This reward ...A brief overview of Imitation Learning | by SmartLab AI | MediumReinforcement learning (RL) is one of the most interesting areas of machine learning, where an agent interacts with an environment by following a policy. tw[PDF] Self-Imitation Advantage Learning - IFAAMAS2021年5月3日 · Some approaches combine Reinforcement Learning (RL) and learn- ing from (expert) demonstrations [22, 35]. It is efficient, but having access to ... tw[PDF] Imitation-Projected Programmatic Reinforcement Learning - NIPS ...In this paper, we develop PROPEL (Imitation-Projected Programmatic Reinforcement Learning), a new learning meta-algorithm for PRL, as a response to this ... tw | twBridging the Gap Between Imitation Learning and Inverse ...It is usually implemented as either Imitation Learning (IL) or Inverse Reinforcement Learning (IRL) in the literature. On the one hand, IRL is a paradigm ...[PDF] DISAGREEMENT-REGULARIZED IMITATION LEARNINGIf success on the task can be accurately described using a reward or cost function, reinforcement learning (RL) methods offer an approach to learning policies ...