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Methodology
← Core AI
Artificial Intelligence
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Core AI
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Agent Systems
3885 directly classified papers
Papers per year
2002: 1
2003: 1
2006: 12
2007: 5
2008: 11
2009: 8
2010: 17
2011: 14
2012: 21
2013: 17
2014: 17
2015: 16
2016: 32
2017: 102
2018: 123
2019: 198
2020: 210
2021: 269
2022: 291
2023: 415
2024: 663
2025: 1077
2026: 365
Papers
Asking the Right Questions: Learning Interpretable Action Models Through Query Answering
AAAI 2021
IFDDS: An Anti-fraud Outbound Robot
AAAI 2021
Bootstrapping Dialog Models from Human to Human Conversation Logs
AAAI 2021
Improving the Morphology and Control Policy of Self-reconfiguring Modular Robots in Dynamic Environment (Student Abstract)
AAAI 2021
Robotic Manipulation with Reinforcement Learning, State Representation Learning, and Imitation Learning (Student Abstract)
AAAI 2021
Artificial Intelligence and Machine Learning for Autonomous Agents that Learn to Plan and Operate in Unpredictable Dynamic Environments
AAAI 2021
Modeling Expert Knowledge in a Heuristic-Based Gin Rummy Agent
AAAI 2021
Heisenbot: A Rule-Based Game Agent for Gin Rummy
AAAI 2021
Using Online Planning and Acting to Recover from Cyberattacks on Software-defined Networks
AAAI 2021
Towards a Unifying Framework for Formal Theories of Novelty
AAAI 2021
Unanswerable Question Correction in Question Answering over Personal Knowledge Base
AAAI 2021
UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2
AAAI 2021
Reinforced History Backtracking for Conversational Question Answering
AAAI 2021
Inference-Based Deterministic Messaging For Multi-Agent Communication
AAAI 2021
Robust Bandit Learning with Imperfect Context
AAAI 2021
Argumentation Frameworks with Strong and Weak Constraints: Semantics and Complexity
AAAI 2021
INVIGORATE: Interactive Visual Grounding and Grasping in Clutter
RSS 2021
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
RSS 2021
RobustNav: Towards Benchmarking Robustness in Embodied Navigation
ICCV 2021
Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation
ICCV 2021
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity
NIPS 2021
Learning Knowledge Graph-based World Models of Textual Environments
NIPS 2021
Reinforcement Learning based Disease Progression Model for Alzheimer’s Disease
NIPS 2021
Towards Navigation by Reasoning over Spatial Configurations
IJCNLP 2021
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?
IJCNLP 2021
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