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Found 5 papers, 2 papers with code
A Gaussian Particle Filter Approach for Sensors to Track Multiple Moving Targets
In a variety of problems, the number and state of multiple moving targets are unknown and are subject to be inferred from their measurements obtained by a sensor with limited sensing ability.
Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations
At the end of the competition, Chirpy Cardinal progressed to the finals with an average rating of 3. 6/5. 0, a median conversation duration of 2 minutes 16 seconds, and a 90th percentile duration of over 12 minutes.
Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning
Furthermore, we leverage a variational auto-encoder (VAE) model to capture the life-long novelty of states, which is combined with the global JFI score to form multimodal intrinsic rewards.
Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent
We present Chirpy Cardinal, an open-domain social chatbot.
Large-Scale Quantitative Evaluation of Dialogue Agents’ Response Strategies against Offensive Users
As voice assistants and dialogue agents grow in popularity, so does the abuse they receive.
