Reinforcement Learning
9,982 papers (145 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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9
27
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20
43
49
59
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51
83
216
419
722
966
1,128
1,156
1,384
1,648
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362
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Papers (including subtopics)
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning
ICML 2021
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction
AAAI 2021
Formal verification of neural networks for safety-critical tasks in deep reinforcement learning
UAI 2021
Fourier Bases for Solving Permutation Puzzles
AISTATS 2021
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
ICML 2021
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation
CoRL 2021
Functional Regularization for Reinforcement Learning via Learned Fourier Features
NeurIPS 2021
Gated Spatio-Temporal Attention-Guided Video Deblurring
CVPR 2021
Gaussian Approximation for Bias Reduction in Q-Learning
JMLR 2021
GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning
AAAI 2021
Generalizable Episodic Memory for Deep Reinforcement Learning
ICML 2021
Generalizable Imitation Learning from Observation via Inferring Goal Proximity
NeurIPS 2021
Generalization in Text-based Games via Hierarchical Reinforcement Learning
EMNLP 2021
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances
AAAI 2021
Generalized Proximal Policy Optimization with Sample Reuse
NeurIPS 2021
Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning
EMNLP 2021
Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning
ICLR 2021
Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning
ACML 2021
GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels
RSS 2021
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling
AAAI 2021
Global Convergence of Online Optimization for Nonlinear Model Predictive Control
NeurIPS 2021
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time
ICML 2021
GMAC: A Distributional Perspective on Actor-Critic Framework
ICML 2021
Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
CoRL 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
NeurIPS 2021