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Methodology
← Methods
Reinforcement Learning
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Methods
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Deep RL
3861 directly classified papers
Papers per year
2005: 1
2006: 9
2007: 14
2008: 15
2009: 9
2010: 21
2011: 27
2012: 32
2013: 21
2014: 17
2015: 10
2016: 33
2017: 102
2018: 222
2019: 399
2020: 450
2021: 533
2022: 478
2023: 532
2024: 513
2025: 326
2026: 97
Papers
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract)
IJCAI 2020
Automatic Curriculum Learning For Deep RL: A Short Survey
IJCAI 2020
Playing Atari with Six Neurons (Extended Abstract)
IJCAI 2020
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract)
IJCAI 2020
Relation-Aware Transformer for Portfolio Policy Learning
IJCAI 2020
Robust Market Making via Adversarial Reinforcement Learning
IJCAI 2020
An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization
IJCAI 2020
A Two-level Reinforcement Learning Algorithm for Ambiguous Mean-variance Portfolio Selection Problem
IJCAI 2020
Data-Driven Market-Making via Model-Free Learning
IJCAI 2020
Improving Tandem Mass Spectra Analysis with Hierarchical Learning
IJCAI 2020
Crowd-Steer: Realtime Smooth and Collision-Free Robot Navigation in Densely Crowded Scenarios Trained using High-Fidelity Simulation
IJCAI 2020
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning
IJCAI 2020
Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players
IJCAI 2020
Semi-Markov Reinforcement Learning for Stochastic Resource Collection
IJCAI 2020
DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling
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
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
IJCAI 2020
Reward Prediction Error as an Exploration Objective in Deep RL
IJCAI 2020
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL
IJCAI 2020
SVRG for Policy Evaluation with Fewer Gradient Evaluations
IJCAI 2020
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations
IJCAI 2020
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning
IJCAI 2020
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
IJCAI 2020
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