Blending MPC & Value Function Approximation for Efficient Reinforcement Learning

10 December 2020

Papers citing "Blending MPC & Value Function Approximation for Efficient Reinforcement Learning"

9 / 9 papers shown

Title
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning Patrick Yin Tyler Westenbroek Simran Bagaria Kevin Huang Ching-an Cheng Andrey Kobolov Abhishek Gupta 80 2 0 04 Feb 2025
Distill2Explain: Differentiable decision trees for explainable reinforcement learning in energy application controllers Gargya Gokhale Seyed soroush Karimi madahi Bert Claessens Chris Develder OffRL 33 2 0 18 Mar 2024
Learning Sampling Distributions for Model Predictive Control Jacob Sacks Byron Boots 11 21 0 05 Dec 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 36 226 0 09 Mar 2022
Tailored neural networks for learning optimal value functions in MPC Dieter Teichrib M. S. Darup 34 4 0 07 Dec 2021
Evaluating model-based planning and planner amortization for continuous control Arunkumar Byravan Leonard Hasenclever Piotr Trochim M. Berk Mirza Alessandro Davide Ialongo ... Jost Tobias Springenberg A. Abdolmaleki N. Heess J. Merel Martin Riedmiller 55 17 0 07 Oct 2021
Non-Markovian Reinforcement Learning using Fractional Dynamics Gaurav Gupta Chenzhong Yin Jyotirmoy V. Deshmukh P. Bogdan OffRL 40 9 0 29 Jul 2021
Safe Reinforcement Learning Using Advantage-Based Intervention Nolan Wagener Byron Boots Ching-An Cheng 34 52 0 16 Jun 2021
Heuristic-Guided Reinforcement Learning Ching-An Cheng Andrey Kolobov Adith Swaminathan OffRL 35 61 0 05 Jun 2021