Undirected Networks
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Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning
Neural Information Processing Systems
In a single-agent setting, IL was shown to be done efficiently via an inverse soft-Q learning process.
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Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion
Neural Information Processing Systems
Work done as a visiting student at MIT. 38th Conference on Neural Information Processing Systems (NeurIPS 2024).
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Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning
Neural Information Processing Systems
We further extend Kaleidoscope to critic ensembles in the context of actor-critic algorithms, which could help improve value estimations.
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Absorb & Escape: Overcoming Single Model Limitations in Generating Genomic Sequences Zehui Li1,*, Y uhao Ni
Neural Information Processing Systems
This heterogeneous nature presents challenges for a single model to accurately generate genomic sequences.
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Policy Optimization for Robust Average Cost MDPs
Neural Information Processing Systems
Specifically, we focus on ergodic Markov chains.
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