ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1709.03153
  4. Cited By
MBMF: Model-Based Priors for Model-Free Reinforcement Learning

MBMF: Model-Based Priors for Model-Free Reinforcement Learning

10 September 2017
Somil Bansal
Roberto Calandra
Kurtland Chua
Sergey Levine
Claire Tomlin
    OffRL
ArXivPDFHTML

Papers citing "MBMF: Model-Based Priors for Model-Free Reinforcement Learning"

8 / 8 papers shown
Title
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration
Amir Baghi
Jens Sjölund
Joakim Bergdahl
Linus Gisslén
Alessandro Sestini
58
0
0
17 Mar 2025
Thief, Beware of What Get You There: Towards Understanding Model
  Extraction Attack
Thief, Beware of What Get You There: Towards Understanding Model Extraction Attack
Xinyi Zhang
Chengfang Fang
Jie Shi
MIACV
MLAU
SILM
45
15
0
13 Apr 2021
FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning
FORK: A Forward-Looking Actor For Model-Free Reinforcement Learning
Honghao Wei
Lei Ying
25
7
0
04 Oct 2020
Dyna-AIL : Adversarial Imitation Learning by Planning
Dyna-AIL : Adversarial Imitation Learning by Planning
Vaibhav Saxena
Srinivasan Sivanandan
Pulkit Mathur
18
1
0
08 Mar 2019
Accelerating Goal-Directed Reinforcement Learning by Model
  Characterization
Accelerating Goal-Directed Reinforcement Learning by Model Characterization
Shoubhik Debnath
Gaurav Sukhatme
Lantao Liu
21
3
0
04 Jan 2019
Sample-Efficient Learning of Nonprehensile Manipulation Policies via
  Physics-Based Informed State Distributions
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions
Lerrel Pinto
Aditya Mandalika
Brian Hou
S. Srinivasa
33
13
0
24 Oct 2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement
  Learning
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning
Boris Ivanovic
James Harrison
Apoorva Sharma
Mo Chen
Marco Pavone
OffRL
32
57
0
16 Jun 2018
Synthesizing Neural Network Controllers with Probabilistic Model based
  Reinforcement Learning
Synthesizing Neural Network Controllers with Probabilistic Model based Reinforcement Learning
J. A. G. Higuera
David Meger
Gregory Dudek
BDL
22
39
0
06 Mar 2018
1