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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
Planning with State Abstractions for Non-Markovian Task Specifications
RSS 2019
Local Koopman Operators for Data-Driven Control of Robotic Systems
RSS 2019
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds
ICML 2019
Multi-Agent Adversarial Inverse Reinforcement Learning
ICML 2019
A Deep Reinforcement Learning Perspective on Internet Congestion Control
ICML 2019
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
ICML 2019
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System
ICML 2019
Structured agents for physical construction
ICML 2019
Self-Paced Contextual Reinforcement Learning
CORL 2019
Combining Optimal Control and Learning for Visual Navigation in Novel Environments
CORL 2019
Vision-and-Dialog Navigation
CORL 2019
A correct formulation for the Orientation Dynamic Movement Primitives for robot control in the Cartesian space
CORL 2019
Optimizing Sequences of Probabilistic Manipulation Skills Learned from Demonstration
CORL 2019
Variational Inference MPC for Bayesian Model-based Reinforcement Learning
CORL 2019
Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping
CORL 2019
Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration
CORL 2019
Combining Deep Learning and Verification for Precise Object Instance Detection
CORL 2019
From Virtual to Real: A Framework for Verbal Interaction with Robots
NAACL 2019
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models
NAACL 2019
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning
NAACL 2019
Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering
NAACL 2019
Semantic Spatial Representation: a unique representation of an environment based on an ontology for robotic applications
NAACL 2019
Evacuate or Not? A POMDP Model of the Decision Making of Individuals in Hurricane Evacuation Zones
UAI 2019
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning
UAI 2019
Online Control with Adversarial Disturbances
ICML 2019
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