Reinforcement Learning
3,118 papers
Papers per year
1
11
18
24
14
22
28
34
28
24
17
23
79
183
257
291
347
339
336
495
464
83
'10
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Papers
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning
ICLR 2020
Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards
AAAI 2020
Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control
NeurIPS 2020
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning
CVPR 2020
Model and Reinforcement Learning for Markov Games with Risk Preferences
AAAI 2020
Model-Based Reinforcement Learning with Value-Targeted Regression
L4DC 2020
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes
ICML 2020
Modeling Protagonist Emotions for Emotion-Aware Storytelling
EMNLP 2020
Modelling Sentence Pairs via Reinforcement Learning: An Actor-Critic Approach to Learn the Irrelevant Words
AAAI 2020
Momentum in Reinforcement Learning
AISTATS 2020
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
AAAI 2020
Multi-Agent Determinantal Q-Learning
ICML 2020
Multi-Agent Game Abstraction via Graph Attention Neural Network
AAAI 2020
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
EMNLP 2020
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics
IJCAI 2020
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning
AAAI 2020
NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations
AAAI 2020
Nested-Wasserstein Self-Imitation Learning for Sequence Generation
AISTATS 2020
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation
EMNLP 2020
Never Give Up: Learning Directed Exploration Strategies
ICLR 2020
Objective Mismatch in Model-based Reinforcement Learning
L4DC 2020
Observational Overfitting in Reinforcement Learning
ICLR 2020
Off-Policy Actor-Critic with Shared Experience Replay
ICML 2020
Off-Policy Evaluation in Partially Observable Environments
AAAI 2020
Off-Policy Evaluation via the Regularized Lagrangian
NeurIPS 2020