Giving Feedback on Interactive Student Programs with Meta-Exploration

16 November 2022

Papers citing "Giving Feedback on Interactive Student Programs with Meta-Exploration"

33 / 33 papers shown

Title
CoTAL: Human-in-the-Loop Prompt Engineering, Chain-of-Thought Reasoning, and Active Learning for Generalizable Formative Assessment Scoring Clayton Cohn Nicole M. Hutchins Ashwin T S Gautam Biswas LRM 69 1 0 03 Apr 2025
Play to Grade: Testing Coding Games as Classifying Markov Decision Process Allen Nie Emma Brunskill Chris Piech 44 11 0 27 Oct 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 82 19 0 23 Jul 2021
Improving Playtesting Coverage via Curiosity Driven Reinforcement Learning Agents Camilo Gordillo Joakim Bergdahl Konrad Tollmar Linus Gisslén OnRL 52 42 0 25 Mar 2021
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents Jane X. Wang Michael King Nicolas Porcel Z. Kurth-Nelson Tina Zhu ... Neil C. Rabinowitz Loic Matthey Demis Hassabis Alexander Lerchner M. Botvinick OffRL 78 33 0 04 Feb 2021
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices Emmy Liu Aditi Raghunathan Percy Liang Chelsea Finn OffRL 76 66 0 06 Aug 2020
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer Emmy Liu Ramtin Keramati Sudarshan Seshadri Kelvin Guu Panupong Pasupat Emma Brunskill Percy Liang OffRL 60 6 0 12 Jul 2020
An Imitation Learning Approach for Cache Replacement Emmy Liu Milad Hashemi Kevin Swersky Parthasarathy Ranganathan Junwhan Ahn 35 87 0 29 Jun 2020
Learning Adaptive Exploration Strategies in Dynamic Environments Through Informed Policy Regularization Pierre-Alexandre Kamienny Matteo Pirotta A. Lazaric Thibault Lavril Nicolas Usunier Ludovic Denoyer 79 18 0 06 May 2020
Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks Gerrit Schoettler Ashvin Nair J. A. Ojea Sergey Levine Eugen Solowjow OffRL OnRL 53 87 0 29 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 511 42,449 0 03 Dec 2019
MAME : Model-Agnostic Meta-Exploration Swaminathan Gurumurthy Sumit Kumar Katia Sycara 66 15 0 11 Nov 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 238 1,167 0 24 Oct 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L. Zintgraf K. Shiarlis Maximilian Igl Sebastian Schulze Y. Gal Katja Hofmann Shimon Whiteson OffRL 61 277 0 18 Oct 2019
Meta Reinforcement Learning for Sim-to-real Domain Adaptation Karol Arndt Murtaza Hazara Ali Ghadirzadeh Ville Kyrki 162 105 0 16 Sep 2019
Environment Probing Interaction Policies Wenxuan Zhou Lerrel Pinto Abhinav Gupta 56 67 0 26 Jul 2019
Meta reinforcement learning as task inference Jan Humplik Alexandre Galashov Leonard Hasenclever Pedro A. Ortega Yee Whye Teh N. Heess OffRL 108 127 0 15 May 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 81 656 0 19 Mar 2019
Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference Mike Wu Milan Mossé Noah D. Goodman Chris Piech AI4Ed UQCV HAI 83 58 0 05 Sep 2018
Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning Anusha Nagabandi I. Clavera Simin Liu R. Fearing Pieter Abbeel Sergey Levine Chelsea Finn 130 550 0 30 Mar 2018
Meta-Reinforcement Learning of Structured Exploration Strategies Abhishek Gupta Russell Mendonca YuXuan Liu Pieter Abbeel Sergey Levine OffRL 110 345 0 20 Feb 2018
The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces Benjamin Paassen Barbara Hammer T. Price Tiffany Barnes S. Gross Niels Pinkwart 42 53 0 22 Aug 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,909 0 09 Mar 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 97 980 0 17 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 96 1,019 0 09 Nov 2016
Predicting Student Dropout in Higher Education Lovenoor S. Aulck Nishant Velagapudi J. Blumenstock Jevin D. West 58 175 0 20 Jun 2016
Automated Correction for Syntax Errors in Programming Assignments using Recurrent Neural Networks Sahil Bhatia Rishabh Singh 48 117 0 19 Mar 2016
Dueling Network Architectures for Deep Reinforcement Learning Ziyun Wang Tom Schaul Matteo Hessel H. V. Hasselt Marc Lanctot Nando de Freitas OffRL 91 3,755 0 20 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 170 7,641 0 22 Sep 2015
Deep Knowledge Tracing Chris Piech J. Bassen Jonathan Huang Surya Ganguli Mehran Sahami Leonidas Guibas Jascha Narain Sohl-Dickstein AI4Ed HAI 94 1,157 0 19 Jun 2015
Learning Program Embeddings to Propagate Feedback on Student Code Chris Piech Jonathan Huang A. Nguyen Mike Phulsuksombati Mehran Sahami Leonidas Guibas HAI 58 180 0 22 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Automated Feedback Generation for Introductory Programming Assignments Rishabh Singh Sumit Gulwani Armando Solar-Lezama 79 464 0 08 Apr 2012