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Lekan P Molu

2 accepted papers

2024

PcLast: Discovering Plannable Continuous Latent States

ICML 2024poster

Goal-conditioned planning benefits from learned low-dimensional representations of rich observations. While compact latent representations typically learned from variational autoencoders or inverse dynamics enable goal-conditioned decision making, they ignore state reachability, hampering their perf…

Cited by 2SourcePDFScholar
2022

Interaction-Grounded Learning with Action-Inclusive Feedback

NeurIPS 2022accept

Consider the problem setting of Interaction-Grounded Learning (IGL), in which a learner's goal is to optimally interact with the environment with no explicit reward to ground its policies. The agent observes a context vector, takes an action, and receives a feedback vector, using this information to…

Cited by 7SourcePDFScholar