policy iteration - Robuta Search

https://openreview.net/forum?id=Ii7UeHc0mO&referrer=%5Bthe%20profile%20of%20Allan%20Douglas%20Jepson%5D(%2Fprofile%3Fid%3D~Allan_Douglas_Jepson1) Approximate Policy Iteration with Bisimulation Metrics | OpenReview Bisimulation metrics define a distance measure between states of a Markov decision process (MDP) based on a comparison of reward sequences. Due to this... policy iteration approximate bisimulation metrics openreview https://openreview.net/forum?id=HbGgF93Ppoy Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes |... Sample-based MPC is a form for Bayesian inference. Use Gaussian processes for smooth actions and choose the temperature to have a healthy effective sample size. smooth control monte carlo policy iteration inferring https://jmlr.org/papers/v22/19-707.html Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach policy iteration safe improving approximate approach https://openreview.net/forum?id=Ii7UeHc0mO Approximate Policy Iteration with Bisimulation Metrics | OpenReview Bisimulation metrics define a distance measure between states of a Markov decision process (MDP) based on a comparison of reward sequences. Due to this... policy iteration approximate bisimulation metrics openreview https://deepai.org/publication/policy-iteration-for-decentralized-control-of-markov-decision-processes Policy Iteration for Decentralized Control of Markov Decision Processes | DeepAI Jan 15, 2014 - 01/15/14 - Coordination of distributed agents is required for problems arising in many areas, including multi-robot systems, networking and e... markov decision processes policy iteration decentralized control deepai