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Found 3 papers, 1 papers with code
Video Prediction Models as Rewards for Reinforcement Learning
A promising approach is to extract preferences for behaviors from unlabeled videos, which are widely available on the internet.
Skill-Based Reinforcement Learning with Intrinsic Reward Matching
While unsupervised skill discovery has shown promise in autonomously acquiring behavioral primitives, there is still a large methodological disconnect between task-agnostic skill pretraining and downstream, task-aware finetuning.
Recurrent Control Nets for Deep Reinforcement Learning
Central Pattern Generators (CPGs) are biological neural circuits capable of producing coordinated rhythmic outputs in the absence of rhythmic input.
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