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
30
36
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)
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
NeurIPS 2020
Model-based Policy Optimization with Unsupervised Model Adaptation
NeurIPS 2020
Model Based Reinforcement Learning for Atari
ICLR 2020
Model-based reinforcement learning for biological sequence design
ICLR 2020
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous
CoRL 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs
NeurIPS 2020
Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal
COLT 2020
Model-Based Reinforcement Learning with Value-Targeted Regression
ICML 2020
Model-Based Reinforcement Learning with Value-Targeted Regression
L4DC 2020
Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach
IJCAI 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 Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning
IJCAI 2020
Modelling Sentence Pairs via Reinforcement Learning: An Actor-Critic Approach to Learn the Irrelevant Words
AAAI 2020
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
L4DC 2020
Modular Robot Design Synthesis with Deep Reinforcement Learning
AAAI 2020
Momentum-Based Policy Gradient Methods
ICML 2020
Momentum in Reinforcement Learning
AISTATS 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
JMLR 2020
Monte-Carlo Graph Search: the Value of Merging Similar States
ACML 2020
Monte-Carlo Tree Search as Regularized Policy Optimization
ICML 2020
Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients
AAAI 2020
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds
AAAI 2020
MOPO: Model-based Offline Policy Optimization
NeurIPS 2020
MOReL: Model-Based Offline Reinforcement Learning
NeurIPS 2020