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A Unified View on Solving Objective Mismatch in Model-Based
  Reinforcement Learning
v1v2 (latest)

A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning

10 October 2023
Ran Wei
Nathan Lambert
Anthony D. McDonald
Alfredo Garcia
Roberto Calandra
ArXiv (abs)PDFHTML

Papers citing "A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning"

5 / 55 papers shown
Title
The Predictron: End-To-End Learning and Planning
The Predictron: End-To-End Learning and Planning
David Silver
H. V. Hasselt
Matteo Hessel
Tom Schaul
A. Guez
...
Gabriel Dulac-Arnold
David P. Reichert
Neil C. Rabinowitz
André Barreto
T. Degris
74
291
0
28 Dec 2016
Value Iteration Networks
Value Iteration Networks
Aviv Tamar
Yi Wu
G. Thomas
Sergey Levine
Pieter Abbeel
79
654
0
09 Feb 2016
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
325
13,286
0
09 Sep 2015
Playing Atari with Deep Reinforcement Learning
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih
Koray Kavukcuoglu
David Silver
Alex Graves
Ioannis Antonoglou
Daan Wierstra
Martin Riedmiller
129
12,265
0
19 Dec 2013
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic
  Environments
Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments
Yi Sun
Faustino J. Gomez
Jürgen Schmidhuber
114
163
0
29 Mar 2011
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