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cs.LG2026
CASSANDRA: Programmatic and Probabilistic Learning and Inference for Stochastic World Modeling
Panagiotis Lymperopoulos, Abhiramon Rajasekharan, Ian Berlot-Attwell +2
Building world models is essential for planning in real-world domains such as businesses. Since such domains have rich semantics, we can leverage world knowledge to effectively mod…
cs.LG2022★ 3 cited
Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations
Nathan Beck, Abhiramon Rajasekharan, Hieu Tran
Transfer learning approaches in reinforcement learning aim to assist agents in learning their target domains by leveraging the knowledge learned from other agents that have been tr…