Search Results for author:
Found 4 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.
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions
This paper proposes a sample-efficient yet simple approach to learning closed-loop policies for nonprehensile manipulation.
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.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
