ENTITY
Select-to-Act
Select-to-Act
PulseAugur coverage of Select-to-Act — every cluster mentioning Select-to-Act across labs, papers, and developer communities, ranked by signal.
Total · 30d
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2 over 90d
Releases · 30d
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0 over 90d
Papers · 30d
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2 over 90d
TIER MIX · 90D
TOPICS
RECENT · PAGE 1/1 · 2 TOTAL
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New HRLLI Framework Enhances RL Efficiency with Adaptive Language Guidance
Researchers have introduced Hierarchical Reinforcement Learning with Language Instructions (HRLLI), a novel framework designed to improve the sample efficiency of reinforcement learning agents. HRLLI decomposes natural …
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New RL framework uses language for adaptive guidance; survey covers LLM distillation techniques · 2 sources tracked
Researchers have introduced Hierarchical Reinforcement Learning with Language Instructions (HRLLI), a novel framework that enhances reinforcement learning efficiency by dynamically selecting relevant natural language gu…