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Methodology
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Machine Learning
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Reinforcement Learning
2932 directly classified papers
Papers per year
2003: 1
2006: 11
2007: 18
2008: 23
2009: 14
2010: 22
2011: 24
2012: 34
2013: 26
2014: 24
2015: 14
2016: 23
2017: 79
2018: 182
2019: 255
2020: 284
2021: 333
2022: 319
2023: 315
2024: 457
2025: 419
2026: 55
Papers
Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract)
AAAI 2020
ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract)
AAAI 2020
Selecting Portfolios Directly Using Recurrent Reinforcement Learning (Student Abstract)
AAAI 2020
Weakly-Supervised Video Moment Retrieval via Semantic Completion Network
AAAI 2020
The Choice Function Framework for Online Policy Improvement
AAAI 2020
Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes
AAAI 2020
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes
AAAI 2020
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
AAAI 2020
Planning with Abstract Learned Models While Learning Transferable Subtasks
AAAI 2020
Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning
AAAI 2020
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation
AAAI 2020
An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization
IJCAI 2020
Data-Driven Market-Making via Model-Free Learning
IJCAI 2020
Improving Tandem Mass Spectra Analysis with Hierarchical Learning
IJCAI 2020
Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State Domains
IJCAI 2020
Trading Plan Cost for Timeliness in Situated Temporal Planning
IJCAI 2020
Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces
IJCAI 2020
Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints
IJCAI 2020
Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization
IJCAI 2020
Steady-State Policy Synthesis in Multichain Markov Decision Processes
IJCAI 2020
Enhancing Dialog Coherence with Event Graph Grounded Content Planning
IJCAI 2020
Label Enhancement for Label Distribution Learning via Prior Knowledge
IJCAI 2020
Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning
IJCAI 2020
Dual Policy Distillation
IJCAI 2020
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning
IJCAI 2020
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