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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
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning
ICML 2020
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
ICML 2020
Learning Human Objectives by Evaluating Hypothetical Behavior
ICML 2020
Inferring DQN structure for high-dimensional continuous control
ICML 2020
Constrained Markov Decision Processes via Backward Value Functions
ICML 2020
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
ICML 2020
Predictive Coding for Locally-Linear Control
ICML 2020
Objective Mismatch in Model-based Reinforcement Learning
L4DC 2020
Model-Based Reinforcement Learning with Value-Targeted Regression
L4DC 2020
Robust Learning-Based Control via Bootstrapped Multiplicative Noise
L4DC 2020
Periodic Q-Learning
L4DC 2020
Stable Reinforcement Learning with Unbounded State Space
L4DC 2020
Learning-based Stochastic Model Predictive Control with State-Dependent Uncertainty
L4DC 2020
Adaptive Trade-Offs in Off-Policy Learning
AISTATS 2020
A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change
ICML 2020
Sparse Graphical Memory for Robust Planning
NIPS 2020
Reinforcement Learning for Integer Programming: Learning to Cut
ICML 2020
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
ICML 2020
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
ICML 2020
Optimizing Data Usage via Differentiable Rewards
ICML 2020
Loss Function Search for Face Recognition
ICML 2020
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning
ICML 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
ICML 2020
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
ICML 2020
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation
ICML 2020
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