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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
RMM: A Recursive Mental Model for Dialogue Navigation
EMNLP 2020
Learning Adaptive Language Interfaces through Decomposition
EMNLP 2020
A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option
AISTATS 2020
Reciprocal Learning Networks for Human Trajectory Prediction
CVPR 2020
Deep Imitation Learning for Bimanual Robotic Manipulation
NIPS 2020
Lifelong Learning with a Changing Action Set
AAAI 2020
Fatigue-Aware Bandits for Dependent Click Models
AAAI 2020
Learning Goal-oriented Dialogue Policy with opposite Agent Awareness
AACL 2020
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies
AAAI 2020
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control
AAAI 2020
Counterfactual Off-Policy Training for Neural Dialogue Generation
EMNLP 2020
Feedback-Based Self-Learning in Large-Scale Conversational AI Agents
AAAI 2020
Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents
AAAI 2020
Vision-Dialog Navigation by Exploring Cross-Modal Memory
CVPR 2020
Learning to Simulate Dynamic Environments With GameGAN
CVPR 2020
SAPIEN: A SimulAted Part-Based Interactive ENvironment
CVPR 2020
MTSS: Learn from Multiple Domain Teachers and Become a Multi-Domain Dialogue Expert
AAAI 2020
Visual Reaction: Learning to Play Catch With Your Drone
CVPR 2020
Learning and Solving Regular Decision Processes
IJCAI 2020
IKBT: Solving Symbolic Inverse Kinematics with Behavior Tree (Extended Abstract)
IJCAI 2020
MOSS: End-to-End Dialog System Framework with Modular Supervision
AAAI 2020
LTLƒ Synthesis with Fairness and Stability Assumptions
AAAI 2020
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents
AAAI 2020
Metareasoning in Modular Software Systems: On-the-Fly Configuration Using Reinforcement Learning with Rich Contextual Representations
AAAI 2020
Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract)
AAAI 2020
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