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2002.06473
Cited By

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

ArXiv (abs)PDF HTML

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

12 / 12 papers shown

Decision Flow Policy Optimization

Decision Flow Policy Optimization

375

0

0

26 May 2025

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 SubgoalsInternational Conference on Learning Representations (ICLR), 2024

Benjamin Eysenbach

439

15

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

Ruslan Salakhutdinov

823

19

0

06 Mar 2024

A Coupled Flow Approach to Imitation Learning

A Coupled Flow Approach to Imitation LearningInternational Conference on Machine Learning (ICML), 2023

224

16

0

29 Apr 2023

Hypernetworks for Zero-shot Transfer in Reinforcement Learning

Hypernetworks for Zero-shot Transfer in Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2022

S. Rezaei-Shoshtari

Charlotte Morissette

264

23

0

28 Nov 2022

Goal-Conditioned Q-Learning as Knowledge Distillation

Goal-Conditioned Q-Learning as Knowledge DistillationAAAI Conference on Artificial Intelligence (AAAI), 2022

Alexander Levine

426

4

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

f

-Advantage RegressionNeural Information Processing Systems (NeurIPS), 2022

Yecheng Jason Ma

Dinesh Jayaraman

332

78

0

07 Jun 2022

C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks

C-Planning: An Automatic Curriculum for Learning Goal-Reaching TasksInternational Conference on Learning Representations (ICLR), 2021

Tianjun Zhang

Benjamin Eysenbach

Ruslan Salakhutdinov

Joseph E. Gonzalez

247

18

0

22 Oct 2021

Outcome-Driven Reinforcement Learning via Variational Inference

Outcome-Driven Reinforcement Learning via Variational InferenceNeural Information Processing Systems (NeurIPS), 2021

Tim G. J. Rudner

Vitchyr H. Pong

328

23

0

20 Apr 2021

Actionable Models: Unsupervised Offline Reinforcement Learning of
Robotic Skills

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic SkillsInternational Conference on Machine Learning (ICML), 2021

Yevgen Chebotar

Dmitry Kalashnikov

...

Benjamin Eysenbach

410

171

0

15 Apr 2021

Counterfactual Data Augmentation using Locally Factored Dynamics

Counterfactual Data Augmentation using Locally Factored Dynamics

Silviu Pitis

310

112

0

06 Jul 2020

Off-Dynamics Reinforcement Learning: Training for Transfer with Domain
Classifiers

Off-Dynamics Reinforcement Learning: Training for Transfer with Domain ClassifiersInternational Conference on Learning Representations (ICLR), 2020

Benjamin Eysenbach

Shreyas Chaudhari

Ruslan Salakhutdinov

457

120

0

24 Jun 2020

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