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Found 6 papers, 0 papers with code
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts
We first obtain an ensemble of experts, one for each latent MDP, and fuse their advice to compute a baseline policy.
Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and Synthesis
We present a 16. 2-million frame (50-hour) multimodal dataset of two-person face-to-face spontaneous conversations.
Towards Effective Human-AI Teams: The Case of Collaborative Packing
Our goal is to guide human users towards optimal task performance while keeping their cognitive load as low as possible.
Imitation Learning as $f$-Divergence Minimization
We show that the state-of-the-art methods such as GAIL and behavior cloning, due to their choice of loss function, often incorrectly interpolate between such modes.
Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes
We present the first PAC optimal algorithm for Bayes-Adaptive Markov Decision Processes (BAMDPs) in continuous state and action spaces, to the best of our knowledge.
Bayesian Policy Optimization for Model Uncertainty
Addressing uncertainty is critical for autonomous systems to robustly adapt to the real world.
