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Hallucinated Adversarial Control for Conservative Offline Policy
  Evaluation

Hallucinated Adversarial Control for Conservative Offline Policy Evaluation

2 March 2023
Jonas Rothfuss
Bhavya Sukhija
Tobias Birchler
Parnian Kassraie
Andreas Krause
    OffRL
ArXivPDFHTML

Papers citing "Hallucinated Adversarial Control for Conservative Offline Policy Evaluation"

14 / 14 papers shown
Title
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
Yarden As
Bhavya Sukhija
Lenart Treven
Carmelo Sferrazza
Stelian Coros
Andreas Krause
33
1
0
12 Oct 2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time
  RL
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
Lenart Treven
Bhavya Sukhija
Yarden As
Florian Dorfler
Andreas Krause
39
0
0
03 Jun 2024
NeoRL: Efficient Exploration for Nonepisodic RL
NeoRL: Efficient Exploration for Nonepisodic RL
Bhavya Sukhija
Lenart Treven
Florian Dorfler
Stelian Coros
Andreas Krause
OffRL
36
0
0
03 Jun 2024
Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling
  Process
Active Learning of Dynamics Using Prior Domain Knowledge in the Sampling Process
Kevin S. Miller
Adam J. Thorpe
Ufuk Topcu
26
0
0
25 Mar 2024
Bridging the Sim-to-Real Gap with Bayesian Inference
Bridging the Sim-to-Real Gap with Bayesian Inference
Jonas Rothfuss
Bhavya Sukhija
Lenart Treven
Florian Dorfler
Stelian Coros
Andreas Krause
AI4CE
44
3
0
25 Mar 2024
Data-Efficient Task Generalization via Probabilistic Model-based Meta
  Reinforcement Learning
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning
Arjun Bhardwaj
Jonas Rothfuss
Bhavya Sukhija
Yarden As
Marco Hutter
Stelian Coros
Andreas Krause
32
5
0
13 Nov 2023
Efficient Exploration in Continuous-time Model-based Reinforcement
  Learning
Efficient Exploration in Continuous-time Model-based Reinforcement Learning
Lenart Treven
Jonas Hübotter
Bhavya Sukhija
Florian Dorfler
Andreas Krause
32
5
0
30 Oct 2023
Optimistic Active Exploration of Dynamical Systems
Optimistic Active Exploration of Dynamical Systems
Bhavya Sukhija
Lenart Treven
Cansu Sancaktar
Sebastian Blaes
Stelian Coros
Andreas Krause
29
17
0
21 Jun 2023
Offline Reinforcement Learning with Implicit Q-Learning
Offline Reinforcement Learning with Implicit Q-Learning
Ilya Kostrikov
Ashvin Nair
Sergey Levine
OffRL
214
843
0
12 Oct 2021
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
219
415
0
16 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,960
0
04 May 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey
Deep Reinforcement Learning for Autonomous Driving: A Survey
B. R. Kiran
Ibrahim Sobh
V. Talpaert
Patrick Mannion
A. A. Sallab
S. Yogamani
P. Pérez
168
1,631
0
02 Feb 2020
Double Reinforcement Learning for Efficient Off-Policy Evaluation in
  Markov Decision Processes
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes
Nathan Kallus
Masatoshi Uehara
OffRL
38
181
0
22 Aug 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
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