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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
43
48
875
672
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Papers (including subtopics)

Robust Visual Imitation Learning with Inverse Dynamics Representations AAAI 2024
Backpropagation Through Agents AAAI 2024
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward AAAI 2024
ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation AAAI 2024
Sketched Newton Value Iteration for Large-Scale Markov Decision Processes AAAI 2024
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning AAAI 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024
Discerning Temporal Difference Learning AAAI 2024
Online Markov Decision Processes Configuration with Continuous Decision Space AAAI 2024
Optimal Attack and Defense for Reinforcement Learning AAAI 2024
Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024
Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024
CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems AAAI 2024
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading AAAI 2024
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation AAAI 2024
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning AAAI 2024
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration AAAI 2024
Parameterized Projected Bellman Operator AAAI 2024
DiffAIL: Diffusion Adversarial Imitation Learning AAAI 2024
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints AAAI 2024
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective AAAI 2024
Critic-Guided Decision Transformer for Offline Reinforcement Learning AAAI 2024
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning AAAI 2024
Neural Network Approximation for Pessimistic Offline Reinforcement Learning AAAI 2024