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The Impact of Task Underspecification in Evaluating Deep Reinforcement
  Learning

The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning

Neural Information Processing Systems (NeurIPS), 2022
16 October 2022
Vindula Jayawardana
Catherine Tang
Sirui Li
Da Suo
Cathy Wu
    OffRL
ArXiv (abs)PDFHTML

Papers citing "The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning"

8 / 8 papers shown
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual
  Reinforcement Learning
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2024
Vindula Jayawardana
Baptiste Freydt
Ao Qu
Cameron Hickert
Zhongxia Yan
Cathy Wu
208
4
0
19 Oct 2024
Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at Scale
Mitigating Metropolitan Carbon Emissions with Dynamic Eco-driving at ScaleTransportation Research Part C: Emerging Technologies (TRC), 2024
Vindula Jayawardana
Baptiste Freydt
Ao Qu
Cameron Hickert
E. Sanchez
Catherine Tang
Mark Taylor
Blaine Leonard
Cathy Wu
187
5
0
10 Aug 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning
Model-Based Transfer Learning for Contextual Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024
Jung-Hoon Cho
Vindula Jayawardana
Sirui Li
Cathy Wu
OffRL
555
4
0
08 Aug 2024
Generalizing Cooperative Eco-driving via Multi-residual Task Learning
Generalizing Cooperative Eco-driving via Multi-residual Task Learning
Vindula Jayawardana
Sirui Li
Cathy Wu
Y. Farid
Kentaro Oguchi
174
4
0
07 Mar 2024
Model-free Learning of Corridor Clearance: A Near-term Deployment
  Perspective
Model-free Learning of Corridor Clearance: A Near-term Deployment Perspective
Dajiang Suo
Vindula Jayawardana
Cathy Wu
128
4
0
16 Dec 2023
Temporal Transfer Learning for Traffic Optimization with Coarse-grained
  Advisory Autonomy
Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy
Jung-Hoon Cho
Sirui Li
Jeongyun Kim
Cathy Wu
162
5
0
27 Nov 2023
Reinforcement Learning Fine-tuning of Language Models is Biased Towards
  More Extractable Features
Reinforcement Learning Fine-tuning of Language Models is Biased Towards More Extractable Features
Diogo Cruz
Edoardo Pona
Alex Holness-Tofts
Elias Schmied
Víctor Abia Alonso
Charlie Griffin
B. Cirstea
185
1
0
07 Nov 2023
Contextualize Me -- The Case for Context in Reinforcement Learning
Contextualize Me -- The Case for Context in Reinforcement Learning
C. Benjamins
Theresa Eimer
Frederik Schubert
Aditya Mohan
Sebastian Dohler
André Biedenkapp
Bodo Rosenhahn
Katharina Eggensperger
Marius Lindauer
OffRL
353
47
0
09 Feb 2022
1
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