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CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning.

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PixL2R: Guiding Reinforcement Learning Using Natural Language by Mapping Pixels to Rewards., , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 485-497. PMLR, (2020)Using Natural Language for Reward Shaping in Reinforcement Learning., , and . IJCAI, page 2385-2391. ijcai.org, (2019)Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI., , , , , , , , , and 32 other author(s). CoRR, (2023)"Don't forget to put the milk back!" Dataset for Enabling Embodied Agents to Detect Anomalous Situations., , , , , and . CoRR, (2024)Nonparametric Variational Auto-encoders for Hierarchical Representation Learning., , , , and . CoRR, (2017)Zero-shot Task Adaptation using Natural Language., , and . CoRR, (2021)S-EQA: Tackling Situational Queries in Embodied Question Answering., , , , , and . CoRR, (2024)Local Deep Kernel Learning for Efficient Non-linear SVM Prediction., , , and . ICML (3), volume 28 of JMLR Workshop and Conference Proceedings, page 486-494. JMLR.org, (2013)CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning., , , , , and . CoRR, (2022)Language-guided Task Adaptation for Imitation Learning., , and . CoRR, (2023)