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Found 4 papers, 1 papers with code
Regularity as Intrinsic Reward for Free Play
Our generalized formulation of Regularity as Intrinsic Reward (RaIR) allows us to operationalize it within model-based reinforcement learning.
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World
For this reason, a large part of the reinforcement learning (RL) community uses simulators to develop and benchmark algorithms.
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation
It has been a long-standing dream to design artificial agents that explore their environment efficiently via intrinsic motivation, similar to how children perform curious free play.
End-to-End Pixel-Based Deep Active Inference for Body Perception and Action
We present a pixel-based deep active inference algorithm (PixelAI) inspired by human body perception and action.
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