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Synergizing quality-diversity with descriptor-conditioned reinforcement learning
A hallmark of intelligence is the ability to exhibit a wide range of effective behaviors. Inspired
by this principle, Quality-Diversity algorithms, such as MAP-Elites, are evolutionary methods …
by this principle, Quality-Diversity algorithms, such as MAP-Elites, are evolutionary methods …
Walk Wisely on Graph: Knowledge Graph Reasoning with Dual Agents via Efficient Guidance-Exploration
Z Wang, B Wang, H **g, H Li, H Dou - arxiv preprint arxiv:2408.01880, 2024 - arxiv.org
Recent years, multi-hop reasoning has been widely studied for knowledge graph (KG)
reasoning due to its efficacy and interpretability. However, previous multi-hop reasoning …
reasoning due to its efficacy and interpretability. However, previous multi-hop reasoning …
The impact of intrinsic rewards on exploration in Reinforcement Learning
One of the open challenges in Reinforcement Learning is the hard exploration problem in
sparse reward environments. Various types of intrinsic rewards have been proposed to …
sparse reward environments. Various types of intrinsic rewards have been proposed to …