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Found 3 papers, 2 papers with code
Language Reward Modulation for Pretraining Reinforcement Learning
Using learned reward functions (LRFs) as a means to solve sparse-reward reinforcement learning (RL) tasks has yielded some steady progress in task-complexity through the years.
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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