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Exploration in deep reinforcement learning: A survey [PDF]
Information Fusion, 2022 This paper reviews exploration techniques in deep reinforcement learning. Exploration techniques are of primary importance when solving sparse reward problems.
Pawel Ladosz, Minwoo Kim, Hyondong Oh
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CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
Neural Information Processing Systems, 2023The rapid advancement of chat-based language models has led to remarkable progress in complex task-solving. However, their success heavily relies on human input to guide the conversation, which can be challenging and time-consuming.
G. Li +4 more
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Beyond local search: boundary-spanning, exploration, and impact in the optical disk industry
Strategic Management Journal, 2001Lori Rosenkopf, Atul Nerkar
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Exploration and exploitation in organizational learning
STUDI ORGANIZZATIVI, 1991- This paper considers the relation between the exploration of new possibilities and the exploitation of old certainties in organizational learning. It examines some complications in allocating resources between the two, particularly those introduced by ...
J. March
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