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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36
20
43
49
59
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51
83
216
419
722
966
1,128
1,156
1,384
1,648
1,445
362
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Papers (including subtopics)
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs
ICML 2022
On the Sample Complexity of Stability Constrained Imitation Learning
L4DC 2022
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
NeurIPS 2022
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation
ICML 2022
Open-Ended Reinforcement Learning with Neural Reward Functions
NeurIPS 2022
Operator Splitting Value Iteration
NeurIPS 2022
Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints
UAI 2022
Optimal Estimation of Policy Gradient via Double Fitted Iteration
ICML 2022
Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints
L4DC 2022
Optimal Transport for Stationary Markov Chains via Policy Iteration
JMLR 2022
Optimistic Initialization for Exploration in Continuous Control
AAAI 2022
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer
ICML 2022
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees
NeurIPS 2022
Optimizing Sequential Experimental Design with Deep Reinforcement Learning
ICML 2022
Optimizing Tensor Network Contraction Using Reinforcement Learning
ICML 2022
Option Transfer and SMDP Abstraction with Successor Features
IJCAI 2022
Oracle Inequalities for Model Selection in Offline Reinforcement Learning
NeurIPS 2022
Orchestrated Value Mapping for Reinforcement Learning
ICLR 2022
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations
CoRL 2022
PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning
NeurIPS 2022
PaCo: Parameter-Compositional Multi-task Reinforcement Learning
NeurIPS 2022
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
ICML 2022
PALMER: Perception - Action Loop with Memory for Long-Horizon Planning
NeurIPS 2022
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations
IJCAI 2022
PantheonRL: A MARL Library for Dynamic Training Interactions
AAAI 2022