9 citations · 9 across the 3 of their papers we have counts for
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cs.LG2020
Mitigating Value Hallucination in Dyna Planning via Multistep Predecessor Models
Farzane Aminmansour, Taher Jafferjee, Ehsan Imani +3
Dyna-style reinforcement learning (RL) agents improve sample efficiency over model-free RL agents by updating the value function with simulated experience generated by an environme…
cs.LG2011
Alignment Based Kernel Learning with a Continuous Set of Base Kernels
Arash Afkanpour, Csaba Szepesvari, Michael Bowling
The success of kernel-based learning methods depend on the choice of kernel. Recently, kernel learning methods have been proposed that use data to select the most appropriate kerne…