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Agent Systems

3885 directly classified papers

Papers per year

Papers

COG-DICE: An Algorithm for Solving Continuous-Observation Dec-POMDPs IJCAI 2017
Achieving Coordination in Multi-Agent Systems by Stable Local Conventions under Community Networks IJCAI 2017
Deep Reinforcement Learning from Human Preferences NIPS 2017
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots ACL 2017
Three-Dimensional Hysteresis Modeling of Robotic Artificial Muscles with Application to Shape Memory Alloy Actuators RSS 2017
Breaking the Human-Robot Deadlock: Surpassing Shared Control Performance Limits with Sparse Human-Robot Interaction RSS 2017
Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning ACL 2017
The Off-Switch Game IJCAI 2017
What Can You Do with a Rock? Affordance Extraction via Word Embeddings IJCAI 2017
End-to-end optimization of goal-driven and visually grounded dialogue systems IJCAI 2017
A Monte Carlo Tree Search approach to Active Malware Analysis IJCAI 2017
Learning Conversational Systems that Interleave Task and Non-Task Content IJCAI 2017
Bridging the Gap between Observation and Decision Making: Goal Recognition and Flexible Resource Allocation in Dynamic Network Interdiction IJCAI 2017
Online Decision-Making for Scalable Autonomous Systems IJCAI 2017
Knowledge Acquisition for Visual Question Answering via Iterative Querying CVPR 2017
An End-to-End System for Accomplishing Tasks with Modular Robots: Perspectives for the AI community IJCAI 2017
Tosca: Operationalizing Commitments Over Information Protocols IJCAI 2017
Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access ACL 2017
Towards A Relational Approach For Tool Creation By Robots IJCAI 2017
Omniscient Debugging for GOAL Agents in Eclipse (Demonstration) IJCAI 2017
Compatible Reward Inverse Reinforcement Learning NIPS 2017
Omniscient Debugging for Cognitive Agent Programs IJCAI 2017
QMDP-Net: Deep Learning for Planning under Partial Observability NIPS 2017
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning EMNLP 2017
Active Preference-Based Learning of Reward Functions RSS 2017