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Reinforcement Learning
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Methods
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Deep RL
3,861 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
Faster Deep Reinforcement Learning with Slower Online Network
NIPS 2022
Denoised MDPs: Learning World Models Better Than the World Itself
ICML 2022
Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs
AAAI 2022
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning
ICML 2022
Reinforcement Learning For Sepsis Treatment: A Continuous Action Space Solution
MLHC 2022
Constrained Contrastive Reinforcement Learning
ACML 2022
Multiagent Q-learning with Sub-Team Coordination
NIPS 2022
DECORE: Deep Compression With Reinforcement Learning
CVPR 2022
The State of Sparse Training in Deep Reinforcement Learning
ICML 2022
A Simple Reward-free Approach to Constrained Reinforcement Learning
ICML 2022
Action-modulated midbrain dopamine activity arises from distributed control policies
NIPS 2022
Integrating Question Rewrites in Conversational Question Answering: A Reinforcement Learning Approach
ACL 2022
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning
NIPS 2022
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition
CVPR 2022
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation
ICML 2022
How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation
ICML 2022
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning
NIPS 2022
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
ICML 2022
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis
NIPS 2022
Adaptive Multi-Goal Exploration
AISTATS 2022
Sequential Voting With Relational Box Fields for Active Object Detection
CVPR 2022
Left Ventricle Contouring in Cardiac Images Based on Deep Reinforcement Learning
MIDL 2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks
ICML 2022
Reinforcement Learning with Automated Auxiliary Loss Search
NIPS 2022
A data-driven approach for learning to control computers
ICML 2022
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