Nov 6, 2016 · We found that state of art deep reinforcement learning methods can learn to perform the experiments necessary to discover such hidden properties ...
Jul 21, 2022 · We found that deep reinforcement learning methods can learn to perform the experiments necessary to discover such hidden properties. By ...
We found that deep reinforcement learning methods can learn to perform the experiments necessary to discover such hidden properties. By systematically.
We found that cutting edge approaches in deep reinforcement learning can learn to perform the experiments necessary to discover the hidden properties. We ...
This work introduces a basic set of tasks that require agents to estimate properties such as mass and cohesion of objects in an interactive simulated ...
The environment consists of a physical experiment, which reacts to actions, such as a prescribed strain, to produce a new observed state. The reaction of the ...
We introduce a deep reinforcement learning method that learns to control articulated humanoid bodies to imitate given target motions closely when simulated ...
Nov 6, 2023 · As a proof of concept, we train the agent using model-free reinforcement learning to initialize a superconducting qubit into its ground state ...
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Nov 14, 2023 · We list various goal formulation strategies, including reward shaping and curriculum learning. We also employ different steps of observation ...
This is an extended work of "Which is heavier?" experiment from Learning to Perform Physics Experiments via Deep Reinforcement Learning (Denil et al. ICLR ...