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Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data.

, , , , , and . ICLR, OpenReview.net, (2023)

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Q-Adapter: Training Your LLM Adapter as a Residual Q-Function., , , , , , and . CoRR, (2024)Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 33177-33194. PMLR, (2023)Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning., , , , , , , , , and . ICLR, OpenReview.net, (2024)Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning., , , , , , , , and . CoRR, (2024)Fast Teammate Adaptation in the Presence of Sudden Policy Change., , , , , , , and . CoRR, (2023)Offline Transition Modeling via Contrastive Energy Learning., , , , , and . ICML, OpenReview.net, (2024)Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics., , , , , , and . ICML, OpenReview.net, (2024)BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation., , , , , , and . CoRR, (2024)Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data., , , , , and . ICLR, OpenReview.net, (2023)Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation., , , , , , , and . AAMAS, page 944-953. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)