Preferences over local subgraph structures cause distinct changes in reward collection and strategic actions for agents playing sequential social dilemmas in Harvest and Cleanup environments.
Curiosity-driven exploration by self-supervised prediction
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LLM-TALE steers RL exploration using LLM-generated plans at task and affordance levels with online suboptimality correction, improving sample efficiency and success rates on pick-and-place tasks without human supervision.
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Investigating the Impact of Subgraph Social Structure Preference on the Strategic Behavior of Networked Mixed-Motive Learning Agents
Preferences over local subgraph structures cause distinct changes in reward collection and strategic actions for agents playing sequential social dilemmas in Harvest and Cleanup environments.
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LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning
LLM-TALE steers RL exploration using LLM-generated plans at task and affordance levels with online suboptimality correction, improving sample efficiency and success rates on pick-and-place tasks without human supervision.