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Universal Value Density Estimation for Imitation Learning and
  Goal-Conditioned Reinforcement Learning

Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning

15 February 2020
Yannick Schroecker
Charles Isbell
    OffRL
ArXivPDFHTML

Papers citing "Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning"

13 / 13 papers shown
Title
A Single Goal is All You Need: Skills and Exploration Emerge from
  Contrastive RL without Rewards, Demonstrations, or Subgoals
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals
Grace Liu
Michael Tang
Benjamin Eysenbach
OffRL
40
0
0
11 Aug 2024
Inference via Interpolation: Contrastive Representations Provably Enable
  Planning and Inference
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Benjamin Eysenbach
Vivek Myers
Ruslan Salakhutdinov
Sergey Levine
AI4TS
41
8
0
06 Mar 2024
A Coupled Flow Approach to Imitation Learning
A Coupled Flow Approach to Imitation Learning
G. Freund
Elad Sarafian
Sarit Kraus
OOD
21
12
0
29 Apr 2023
Hypernetworks for Zero-shot Transfer in Reinforcement Learning
Hypernetworks for Zero-shot Transfer in Reinforcement Learning
S. Rezaei-Shoshtari
Charlotte Morissette
F. Hogan
Gregory Dudek
D. Meger
OffRL
17
14
0
28 Nov 2022
Goal-Conditioned Q-Learning as Knowledge Distillation
Goal-Conditioned Q-Learning as Knowledge Distillation
Alexander Levine
S. Feizi
OffRL
17
2
0
28 Aug 2022
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via
  $f$-Advantage Regression
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via fff-Advantage Regression
Yecheng Jason Ma
Jason Yan
Dinesh Jayaraman
Osbert Bastani
OffRL
15
51
0
07 Jun 2022
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
Tianjun Zhang
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
Joseph E. Gonzalez
OffRL
29
16
0
22 Oct 2021
Outcome-Driven Reinforcement Learning via Variational Inference
Outcome-Driven Reinforcement Learning via Variational Inference
Tim G. J. Rudner
Vitchyr H. Pong
R. McAllister
Y. Gal
Sergey Levine
19
19
0
20 Apr 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of
  Robotic Skills
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Yevgen Chebotar
Karol Hausman
Yao Lu
Ted Xiao
Dmitry Kalashnikov
...
A. Irpan
Benjamin Eysenbach
Ryan C. Julian
Chelsea Finn
Sergey Levine
SSL
OffRL
18
145
0
15 Apr 2021
Counterfactual Data Augmentation using Locally Factored Dynamics
Counterfactual Data Augmentation using Locally Factored Dynamics
Silviu Pitis
Elliot Creager
Animesh Garg
BDL
OffRL
6
85
0
06 Jul 2020
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain
  Classifiers
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
Benjamin Eysenbach
Swapnil Asawa
Shreyas Chaudhari
Sergey Levine
Ruslan Salakhutdinov
6
86
0
24 Jun 2020
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based
  Character Skills
DeepMimic: Example-Guided Deep Reinforcement Learning of Physics-Based Character Skills
Xue Bin Peng
Pieter Abbeel
Sergey Levine
M. van de Panne
AI4CE
169
495
0
08 Apr 2018
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,545
0
25 Jan 2016
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