State alignment-based imitation learning
WebConsider an imitation learning problem that the imitator and the expert have dif-ferent dynamics models. Most of existing imitation learning methods fail because they focus on the imitation of actions. We propose a novel state alignment-based imitation learning method to train the imitator by following the state sequences WebState alignment-based imitation learning. F Liu, Z Ling, T Mu, H Su. The Eighth International Conference on Learning Representations (ICLR), 2024. 63: ... Towards More Generalizable One-shot Visual Imitation Learning. Z Mandi*, F Liu*, K Lee, P Abbeel. arXiv preprint arXiv:2110.13423, 2024. 14:
State alignment-based imitation learning
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WebApr 29, 2024 · We propose a novel state alignment-based imitation learning method to train the imitator by following the state sequences in the expert demonstrations as much as … WebWe propose a novel state alignment-based imitation learning method to train the imitator by following the state sequences in the expert demonstrations as much as possible. The alignment of states comes …
WebNov 21, 2024 · We propose a novel state alignment-based imitation learning method to train the imitator to follow the state sequences in expert demonstrations as much as possible. … WebJun 8, 2024 · In this work, we propose a two-phase, autonomous imitation learning technique called behavioral cloning from observation (BCO), that aims to provide improved performance with respect to both of...
Weband model-based reinforcement learning. Imitation Learning. In imitation learning, there is typically no separation between training environments and test en-vironments. Existing imitation learning approaches aim to learn a policy that generates state distributions (Tobin et al., 2024;Torabi et al.,2024b;Sun et al.,2024b;Yang et al., 2024) or ... WebState Alignment-based Imitation Learning We propose a state-based imitation learning method for cross-morphology imitation learning, by considering both the state visitation …
WebJul 9, 2024 · Recent empirical results show that imitation learning via ranked demonstrations allows for better-than-demonstrator performance; however, ranked demonstrations may be difficult to obtain, and little is known theoretically about when such methods can be expected to outperform the demonstrator.
WebWe propose a novel state alignment-based imitation learning method to train the imitator to follow the state sequences in expert demonstrations as much as possible. The state … i need help doing a resumeWebIn this paper, we move toward a more realistic setting and explore state-only imitation learning. To tackle this setting, we train an inverse dynamics model and use it to predict actions for state-only demonstrations. ... Liu F., Ling Z., Mu T., and Su H., “ State alignment-based imitation learning,” in ICLR, 2024. Google Scholar [31 ... i need help creating a business planWebApr 7, 2024 · In this work, we move toward a more realistic setting and explore state-only imitation learning. To tackle this setting, we train an inverse dynamics model and use it to predict actions for... i need help creating a websiteWebOct 23, 2024 · 7.2 State-Only Imitation Learning. Besides state-action imitation, we also evaluate the State-Only Imitation Learning (SOIL) algorithm which does using action information from demonstrations. SOIL extends DAPG to the state-only imitation setting by learning an inverse model \(h_\phi \) with the collected trajectories when running the … i need help creating a blogWebOur imitation learning method is based on state alignment from both local and global perspectives. For local alignment, the goal is to follow the transition of the demonstration … i need help dealing with depressionWebAbstract: Imitation Learning (IL) is a popular paradigm for training agents to achieve complicated goals by leveraging expert behavior, rather than dealing with the hardships of designing a correct reward function. With the environment modeled as a Markov Decision Process (MDP), most of the existing IL algorithms are contingent on the availability of … i need help developing a business planWebDec 6, 2024 · Under a mild assumption that local states shall still be partially aligned under a dynamics mismatch, we propose imitation learning with horizon-adaptive inverse dynamics (HIDIL) that matches the simulator states with expert states in a H-step horizon and accurately recovers actions based on inverse dynamics policies. i need help cornwall