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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
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
ICML 2020
Multi-Agent Determinantal Q-Learning
ICML 2020
Learning Near Optimal Policies with Low Inherent Bellman Error
ICML 2020
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
ICML 2020
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
ICML 2020
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation
ICML 2020
Invariant Causal Prediction for Block MDPs
ICML 2020
Fatigue-Aware Bandits for Dependent Click Models
AAAI 2020
Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
AAAI 2020
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning
AAAI 2020
Actor Critic Deep Reinforcement Learning for Neural Malware Control
AAAI 2020
Accelerating and Improving AlphaZero Using Population Based Training
AAAI 2020
Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis
AAAI 2020
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States
AAAI 2020
Iteratively Questioning and Answering for Interpretable Legal Judgment Prediction
AAAI 2020
Model and Reinforcement Learning for Markov Games with Risk Preferences
AAAI 2020
Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach
AAAI 2020
A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems
AAAI 2020
What Is It You Really Want of Me? Generalized Reward Learning with Biased Beliefs about Domain Dynamics
AAAI 2020
Explainable Reinforcement Learning through a Causal Lens
AAAI 2020
Corpus-Level End-to-End Exploration for Interactive Systems
AAAI 2020
Exploratory Combinatorial Optimization with Reinforcement Learning
AAAI 2020
Proximal Distilled Evolutionary Reinforcement Learning
AAAI 2020
Deterministic Value-Policy Gradients
AAAI 2020
Reinforcement Learning with Non-Markovian Rewards
AAAI 2020
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