Reinforcement Learning
3,118 papers
Papers per year
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11
18
24
14
22
28
34
28
24
17
23
79
183
257
291
347
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495
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83
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Papers
Online Sparse Reinforcement Learning
AISTATS 2021
On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP
ICML 2021
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game
ICML 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
AISTATS 2021
On the Linear Convergence of Policy Gradient Methods for Finite MDPs
AISTATS 2021
On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning
L4DC 2021
On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning
COLT 2021
On the Suboptimality of Thompson Sampling in High Dimensions
NeurIPS 2021
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation
ICML 2021
Optimal Off-Policy Evaluation from Multiple Logging Policies
ICML 2021
Optimal Policies Tend To Seek Power
NeurIPS 2021
Optimizing Percentile Criterion using Robust MDPs
AISTATS 2021
Partial Off-Policy Learning: Balance Accuracy and Diversity for Human-Oriented Image Captioning
ICCV 2021
Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation
IJCAI 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
ICML 2021
Phasic Policy Gradient
ICML 2021
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
ICLR 2021
Planning and Reinforcement Learning for General-Purpose Service Robots
IJCAI 2021
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration
IJCAI 2021
Policy Caches with Successor Features
ICML 2021
Policy Learning with Constraints in Model-free Reinforcement Learning: A Survey
IJCAI 2021
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses
NeurIPS 2021
Predicting Human Scanpaths in Visual Question Answering
CVPR 2021
Preferential Temporal Difference Learning
ICML 2021
Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator
L4DC 2021