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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2
9
27
30
36
20
43
49
59
61
58
51
83
216
419
722
966
1,128
1,156
1,384
1,648
1,445
362
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Papers (including subtopics)
Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers
ICLR 2021
FACMAC: Factored Multi-Agent Centralised Policy Gradients
NeurIPS 2021
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs
NeurIPS 2021
Fast active learning for pure exploration in reinforcement learning
ICML 2021
Fast Algorithms for L_∞-constrained S-rectangular Robust MDPs
NeurIPS 2021
Fast and Feature-Complete Differentiable Physics Engine for Articulated Rigid Bodies with Contact Constraints
RSS 2021
Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes
NeurIPS 2021
Faster Policy Learning with Continuous-Time Gradients
L4DC 2021
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
NeurIPS 2021
Fast Rates for the Regret of Offline Reinforcement Learning
COLT 2021
Fast Stochastic Kalman Gradient Descent for Reinforcement Learning
L4DC 2021
Fast Training Method for Stochastic Compositional Optimization Problems
NeurIPS 2021
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee
NeurIPS 2021
Feedback Attribution for Counterfactual Bandit Learning in Multi-Domain Spoken Language Understanding
EMNLP 2021
Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case
ICML 2021
Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap
COLT 2021
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm
ICML 2021
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators
NeurIPS 2021
Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning
AISTATS 2021
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems
L4DC 2021
Finite-time theory for momentum Q-learning
UAI 2021
First-Order Methods for Wasserstein Distributionally Robust MDP
ICML 2021
Flexible Option Learning
NeurIPS 2021
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
ICLR 2021
FontRL: Chinese Font Synthesis via Deep Reinforcement Learning
AAAI 2021