Abstract: Safety guarantee is an important topic when training real-world tasks with reinforcement learning (RL). During online environmental exploration, any constraint violation can lead to ...
Abstract: This article proposes a data-driven model-free inverse Q-learning algorithm for continuous-time linear quadratic regulators (LQRs). Using an agent’s trajectories of states and optimal ...
The p2 Update sites listed above (since 0.13.0) contain a japicmp report against the last released version to make it easier to identify API changes. The Eclipse LSP4J project uses Semantic Versioning ...
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