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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
Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes
AAAI 2022
Smoothing Advantage Learning
AAAI 2022
A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions
AAAI 2022
Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning
AAAI 2022
Same State, Different Task: Continual Reinforcement Learning without Interference
AAAI 2022
Deep Reinforcement Learning Policies Learn Shared Adversarial Features across MDPs
AAAI 2022
Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization
AAAI 2022
Learning Adversarial Markov Decision Processes with Delayed Feedback
AAAI 2022
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model
AAAI 2022
Conjugated Discrete Distributions for Distributional Reinforcement Learning
AAAI 2022
Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning
AAAI 2022
Optimistic Initialization for Exploration in Continuous Control
AAAI 2022
Fast and Data Efficient Reinforcement Learning from Pixels via Non-parametric Value Approximation
AAAI 2022
Efficient Continuous Control with Double Actors and Regularized Critics
AAAI 2022
Exploring Safer Behaviors for Deep Reinforcement Learning
AAAI 2022
Curiosity-Driven Exploration via Latent Bayesian Surprise
AAAI 2022
Blockwise Sequential Model Learning for Partially Observable Reinforcement Learning
AAAI 2022
Chaining Value Functions for Off-Policy Learning
AAAI 2022
Online Apprenticeship Learning
AAAI 2022
Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
AAAI 2022
Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability
AAAI 2022
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator
AAAI 2022
Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic
AAAI 2022
Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation
AAAI 2022
Structure Learning-Based Task Decomposition for Reinforcement Learning in Non-stationary Environments
AAAI 2022
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