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09/14/2023
A Unified Perspective on Multiple Shooting In Differential Dynamic Programming
Differential Dynamic Programming (DDP) is an efficient computational too...
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07/16/2023
GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT
Decision-makers in GIS need to combine a series of spatial algorithms an...
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07/10/2023
Legal Decision-making for Highway Automated Driving
Compliance with traffic laws is a fundamental requirement for human driv...
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06/24/2023
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism
This paper explores the principles for transforming a quadrupedal robot ...
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06/16/2023
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller
We present CAJun, a novel hierarchical learning and control framework th...
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06/15/2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning
This paper presents a comprehensive benchmarking suite tailored to offli...
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06/14/2023
Language to Rewards for Robotic Skill Synthesis
Large language models (LLMs) have demonstrated exciting progress in acqu...
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06/13/2023
SayTap: Language to Quadrupedal Locomotion
Large language models (LLMs) have demonstrated the potential to perform ...
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05/24/2023
Barkour: Benchmarking Animal-level Agility with Quadruped Robots
Animals have evolved various agile locomotion strategies, such as sprint...
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05/23/2023
Pre-training Language Models for Comparative Reasoning
In this paper, we propose a novel framework to pre-train language models...
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05/23/2023
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions
Contrast consistency, the ability of a model to make consistently correc...
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05/23/2023
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions
Although counterfactual reasoning is a fundamental aspect of intelligenc...
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05/23/2023
Improving Language Models via Plug-and-Play Retrieval Feedback
Large language models (LLMs) exhibit remarkable performance across vario...
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05/22/2023
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
In this paper, we present a novel approach for distilling math word prob...
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05/16/2023
Large Language Models are Built-in Autoregressive Search Engines
Document retrieval is a key stage of standard Web search engines. Existi...
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05/09/2023
StarCoder: may the source be with you!
The BigCode community, an open-scientific collaboration working on the r...
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05/01/2023
IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors without any Outdoor Experience
We present IndoorSim-to-OutdoorReal (I2O), an end-to-end learned visual ...
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04/17/2023
Continuous Versatile Jumping Using Learned Action Residuals
Jumping is essential for legged robots to traverse through difficult ter...
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02/14/2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning
Safe reinforcement learning (RL) trains a constraint satisfaction policy...
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12/20/2022
A Survey of Deep Learning for Mathematical Reasoning
Mathematical reasoning is a fundamental aspect of human intelligence and...
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12/19/2022
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning
Logical reasoning of text is an important ability that requires understa...
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12/06/2022
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning
This article proposes a model-based deep reinforcement learning (DRL) me...
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11/15/2022
Empowering Language Models with Knowledge Graph Reasoning for Question Answering
Answering open-domain questions requires world knowledge about in-contex...
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11/08/2022
SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving
Autonomous driving confronts great challenges in complex traffic scenari...
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10/23/2022
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
A common thread of retrieval-augmented methods in the existing literatur...
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10/07/2022
A Unified Encoder-Decoder Framework with Entity Memory
Entities, as important carriers of real-world knowledge, play a key role...
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10/06/2022
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
A common thread of open-domain question answering (QA) models employs a ...
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10/05/2022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Self-supervised learning (SSL) for graph neural networks (GNNs) has attr...
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09/28/2022
Versatile Real-Time Motion Synthesis via Kino-Dynamic MPC with Hybrid-Systems DDP
Specialized motions such as jumping are often achieved on quadruped robo...
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09/28/2022
Zero-Shot Retargeting of Learned Quadruped Locomotion Policies Using Hybrid Kinodynamic Model Predictive Control
Reinforcement Learning (RL) has witnessed great strides for quadruped lo...
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09/21/2022
Generate rather than Retrieve: Large Language Models are Strong Context Generators
Knowledge-intensive tasks, such as open-domain question answering (QA), ...
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07/27/2022
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations
Evolution Strategy (ES) algorithms have shown promising results in train...
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07/03/2022
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data
Software requirements traceability is a critical component of the softwa...
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06/27/2022
Learning Semantics-Aware Locomotion Skills from Human Demonstration
The semantics of the environment, such as the terrain type and property,...
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04/25/2022
Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles
Self-driving vehicles have their own intelligence to drive on open roads...
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04/07/2022
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods
Multi-task learning (MTL) has become increasingly popular in natural lan...
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03/28/2022
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions
Training a high-dimensional simulated agent with an under-specified rewa...
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03/14/2022
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts
Generative commonsense reasoning (GCR) in natural language is to reason ...
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03/05/2022
Safe Reinforcement Learning for Legged Locomotion
Designing control policies for legged locomotion is complex due to the u...
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11/29/2021
Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery
In this work we propose a novel data-driven, real-time power system volt...
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11/01/2021
Robot Learning from Randomized Simulations: A Review
The rise of deep learning has caused a paradigm shift in robotics resear...
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10/13/2021
Dict-BERT: Enhancing Language Model Pre-training with Dictionary
Pre-trained language models (PLMs) aim to learn universal language repre...
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10/08/2021
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
Current Open-Domain Question Answering (ODQA) model paradigm often conta...
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06/05/2021
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
Automatic construction of a taxonomy supports many applications in e-com...
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06/03/2021
Counterfactual Graph Learning for Link Prediction
Learning to predict missing links is important for many graph-based appl...
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04/15/2021
Sentence-Permuted Paragraph Generation
Generating paragraphs of diverse contents is important in many applicati...
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03/03/2021
Learning to Manipulate Amorphous Materials
We present a method of training character manipulation of amorphous mate...
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02/16/2021
Few-Shot Graph Learning for Molecular Property Prediction
The recent success of graph neural networks has significantly boosted mo...
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01/21/2021
Validating Label Consistency in NER Data Annotation
Data annotation plays a crucial role in ensuring your named entity recog...
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01/13/2021