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07/05/2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
Text-based reinforcement learning agents have predominantly been neural ...
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06/18/2023
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
With the growing interest in large language models, the need for evaluat...
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05/31/2023
Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency
We introduce Logical Offline Cycle Consistency Optimization (LOCCO), a s...
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05/07/2023
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing
Nearly all general-purpose neural semantic parsers generate logical form...
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10/23/2022
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach
Machine learning problems with multiple objective functions appear eithe...
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10/21/2021
LOA: Logical Optimal Actions for Text-based Interaction Games
We present Logical Optimal Actions (LOA), an action decision architectur...
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10/21/2021
Neuro-Symbolic Reinforcement Learning with First-Order Logic
Deep reinforcement learning (RL) methods often require many trials befor...
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06/09/2021
Eye of the Beholder: Improved Relation Generalization for Text-based Reinforcement Learning Agents
Text-based games (TBGs) have become a popular proving ground for the dem...
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03/03/2021
Reinforcement Learning with External Knowledge by using Logical Neural Networks
Conventional deep reinforcement learning methods are sample-inefficient ...
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12/03/2020
Image inpainting using frequency domain priors
In this paper, we present a novel image inpainting technique using frequ...
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10/26/2020
VisualHints: A Visual-Lingual Environment for Multimodal Reinforcement Learning
We present VisualHints, a novel environment for multimodal reinforcement...
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09/24/2020
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games
We show that Reinforcement Learning (RL) methods for solving Text-Based ...
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03/14/2020
Investigating Generalization in Neural Networks under Optimally Evolved Training Perturbations
In this paper, we study the generalization properties of neural networks...
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02/19/2020
Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos
Image-based sports analytics enable automatic retrieval of key events in...
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04/14/2019
Lunar surface image restoration using U-net based deep neural networks
Image restoration is a technique that reconstructs a feasible estimate o...
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10/02/2018
Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation
Natural imitation in humans usually consists of mimicking visual demonst...
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09/21/2018
Constrained Exploration and Recovery from Experience Shaping
We consider the problem of reinforcement learning under safety requireme...
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07/04/2018
Transfer Learning From Synthetic To Real Images Using Variational Autoencoders For Precise Position Detection
Capturing and labeling camera images in the real world is an expensive t...
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06/22/2018
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention
This paper is a contribution towards interpretability of the deep learni...
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06/02/2018
Internal Model from Observations for Reward Shaping
Reinforcement learning methods require careful design involving a reward...
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09/20/2017
Transfer learning from synthetic to real images using variational autoencoders for robotic applications
Robotic learning in simulation environments provides a faster, more scal...
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07/04/2017
Conditional generation of multi-modal data using constrained embedding space mapping
We present a conditional generative model that maps low-dimensional embe...
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11/14/2016