Search Results for author:
Found 8 papers, 3 papers with code
A Scalable Chatbot Platform Leveraging Online Community Posts: A Proof-of-Concept Study
The development of natural language processing algorithms and the explosive growth of conversational data are encouraging researches on the human-computer conversation.
A Robotic Dating Coaching System Leveraging Online Communities Posts
Can a robot be a personal dating coach?
Graph Similarities and Dual Approach for Sequential Text-to-Image Retrieval
We set a video captioning as a dual learning task that reconstructs the input story from the sampled image sequence.
Learning Neural Processes on the Fly
In this paper, we propose a new algorithm called anytime neural processes that combines DNNs and SNNs and can work in both low-data and high-data regimes.
GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous Driving
Applying reinforcement learning to autonomous driving entails particular challenges, primarily due to dynamically changing traffic flows.
LoRCoN-LO: Long-term Recurrent Convolutional Network-based LiDAR Odometry
We propose a deep learning-based LiDAR odometry estimation method called LoRCoN-LO that utilizes the long-term recurrent convolutional network (LRCN) structure.
Reinforcement Learning of Display Transfer Robots in Glass Flow Control Systems: A Physical Simulation-Based Approach
We present a model and parameter setting to build a virtual environment for different display transfer robots, and training methods of reinforcement learning on the environment to obtain an optimal scheduling of glass flow control systems.
SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations
Moreover, we show that our method can retrain the agent to recover from OOD situations even when in-distribution states are difficult to visit through exploration.
