9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Hierarchical reinforcement learning with natural language subgoals
Arun Ahuja, Kavya Kopparapu, Rob Fergus +1
Hierarchical reinforcement learning has been a compelling approach for achieving goal directed behavior over long sequences of actions. However, it has been challenging to implemen…
cs.LG2023★ 9 cited
Collaborating with language models for embodied reasoning
Ishita Dasgupta, Christine Kaeser-Chen, Kenneth Marino +4
Reasoning in a complex and ambiguous environment is a key goal for Reinforcement Learning (RL) agents. While some sophisticated RL agents can successfully solve difficult tasks, th…