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NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control
Traditionally, reinforcement learning methods predict the next action ba...
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Semantic Task Planning for Service Robots in Open World
In this paper, we present a planning system based on semantic reasoning ...
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Design, Control, and Applications of a Soft Robotic Arm
This paper presents the design, control, and applications of a multi-seg...
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Learning and Reasoning for Robot Dialog and Navigation Tasks
Reinforcement learning and probabilistic reasoning algorithms aim at lea...
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Adaptive Dialog Policy Learning with Hindsight and User Modeling
Reinforcement learning methods have been used to compute dialog policies...
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AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning
Deep reinforcement learning (RL) algorithms frequently require prohibiti...
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Attentive One-Dimensional Heatmap Regression for Facial Landmark Detection and Tracking
Although heatmap regression is considered a state-of-the-art method to l...
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Robot Navigation with Map-Based Deep Reinforcement Learning
This paper proposes an end-to-end deep reinforcement learning approach f...
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Robot Representing and Reasoning with Knowledge from Reinforcement Learning
Reinforcement learning (RL) agents aim at learning by interacting with a...
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KDSL: a Knowledge-Driven Supervised Learning Framework for Word Sense Disambiguation
We propose KDSL, a new word sense disambiguation (WSD) framework that ut...
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Learning to Dialogue via Complex Hindsight Experience Replay
Reinforcement learning methods have been used for learning dialogue poli...
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Precise Box Score: Extract More Information from Datasets to Improve the Performance of Face Detection
For the training of face detection network based on R-CNN framework, anc...
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RoboCup 2D Soccer Simulation League: Evaluation Challenges
We summarise the results of RoboCup 2D Soccer Simulation League in 2016 ...
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Signature of Geometric Centroids for 3D Local Shape Description and Partial Shape Matching
Depth scans acquired from different views may contain nuisances such as ...
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Understanding User Instructions by Utilizing Open Knowledge for Service Robots
Understanding user instructions in natural language is an active researc...
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FHHOP: A Factored Hybrid Heuristic Online Planning Algorithm for Large POMDPs
Planning in partially observable Markov decision processes (POMDPs) rema...
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Rollout Sampling Policy Iteration for Decentralized POMDPs
We present decentralized rollout sampling policy iteration (DecRSPI) - a...
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