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Reinforcement Learning
767 directly classified papers
Papers per year
2006: 1
2007: 6
2008: 3
2009: 2
2010: 4
2011: 3
2012: 8
2013: 3
2014: 4
2016: 4
2017: 21
2018: 48
2019: 75
2020: 73
2021: 86
2022: 107
2023: 116
2024: 127
2025: 76
Papers
Reinforcement Learning for Solving Stochastic Vehicle Routing Problem
ACML 2023
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning
AAAI 2023
Reinforced Approximate Exploratory Data Analysis
AAAI 2023
Fast Counterfactual Inference for History-Based Reinforcement Learning
AAAI 2023
Goal-Conditioned Generators of Deep Policies
AAAI 2023
Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning
EMNLP 2023
Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning
NIPS 2023
Incremental Reinforcement Learning with Dual-Adaptive ε-Greedy Exploration
AAAI 2023
Augmented Proximal Policy Optimization for Safe Reinforcement Learning
AAAI 2023
BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning
NIPS 2023
Exploiting Multiple Abstractions in Episodic RL via Reward Shaping
AAAI 2023
Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator
AAAI 2023
Supervised Pretraining Can Learn In-Context Reinforcement Learning
NIPS 2023
The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure
AAAI 2023
Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Conservative Natural Policy Gradient Primal-Dual Algorithm
AAAI 2023
Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning
AAAI 2023
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types
AAAI 2023
Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract)
AAAI 2023
Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition
NIPS 2023
AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems
AAAI 2023
Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation
AAAI 2023
Layout-Aware Dreamer for Embodied Visual Referring Expression Grounding
AAAI 2023
Scalable Spatial Memory for Scene Rendering and Navigation
AAAI 2023
Multi-Level Compositional Reasoning for Interactive Instruction Following
AAAI 2023
A Machine with Short-Term, Episodic, and Semantic Memory Systems
AAAI 2023
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