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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27
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43
49
59
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51
83
216
419
722
966
1,128
1,156
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362
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Papers (including subtopics)
The NetHack Learning Environment
NeurIPS 2020
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning
ACML 2020
The Power of Predictions in Online Control
NeurIPS 2020
The route to chaos in routing games: When is price of anarchy too optimistic?
NeurIPS 2020
The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research
AAAI 2020
The Value Equivalence Principle for Model-Based Reinforcement Learning
NeurIPS 2020
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control
ICLR 2020
Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract)
AAAI 2020
Tightening Exploration in Upper Confidence Reinforcement Learning
ICML 2020
Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes
CoRL 2020
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion
CoRL 2020
Tools for Data-driven Modeling of Within-Hand Manipulation with Underactuated Adaptive Hands
L4DC 2020
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search
NeurIPS 2020
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control
AAAI 2020
Towards Autonomous Eye Surgery by Combining Deep Imitation Learning with Optimal Control
CoRL 2020
Towards Embodied Scene Description
RSS 2020
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion
CoRL 2020
Towards High-Level Intrinsic Exploration in Reinforcement Learning
IJCAI 2020
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes
NeurIPS 2020
Towards Playing Full MOBA Games with Deep Reinforcement Learning
NeurIPS 2020
Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps
CoRL 2020
Towards Safe Policy Improvement for Non-Stationary MDPs
NeurIPS 2020
Toward the Fundamental Limits of Imitation Learning
NeurIPS 2020
Tractable Reinforcement Learning of Signal Temporal Logic Objectives
L4DC 2020
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
NeurIPS 2020