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Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction.

, , , , and . CVPR, page 13734-13744. IEEE, (2023)

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Horizon: Facebook's Open Source Applied Reinforcement Learning Platform., , , , , , , and . CoRR, (2018)MCU: A Task-centric Framework for Open-ended Agent Evaluation in Minecraft., , , and . CoRR, (2023)RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation., , , , , and . CoRR, (2024)Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration., , and . AAMAS, page 753-761. International Foundation for Autonomous Agents and Multiagent Systems, (2020)Juice: A Julia Package for Logic and Probabilistic Circuits., , , , and . AAAI, page 16020-16023. AAAI Press, (2021)State of the Art Control of Atari Games Using Shallow Reinforcement Learning., , , and . AAMAS, page 485-493. ACM, (2016)On Tractable Computation of Expected Predictions., , , , and . NeurIPS, page 11167-11178. (2019)CLoG: Benchmarking Continual Learning of Image Generation Models., , , , , , , , and . CoRR, (2024)GROOT: Learning to Follow Instructions by Watching Gameplay Videos., , , , , and . ICLR, OpenReview.net, (2024)Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners, , , , , , and . (2023)