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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83
216
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722
966
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362
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Papers (including subtopics)
Transfer Reinforcement Learning Using Output-Gated Working Memory
AAAI 2020
Transfer Value Iteration Networks
AAAI 2020
Transparent Intent for Explainable Shared Control in Assistive Robotics
IJCAI 2020
Tree-Structured Policy Based Progressive Reinforcement Learning for Temporally Language Grounding in Video
AAAI 2020
TriFinger: An Open-Source Robot for Learning Dexterity
CoRL 2020
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets
IJCAI 2020
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions
AISTATS 2020
Trust the Model When It Is Confident: Masked Model-based Actor-Critic
NeurIPS 2020
UNAS: Differentiable Architecture Search Meets Reinforcement Learning
CVPR 2020
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents
AAAI 2020
Uncorrected Least-Squares Temporal Difference with Lambda-Return
AAAI 2020
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling
ICML 2020
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal
AAAI 2020
Unknown mixing times in apprenticeship and reinforcement learning
UAI 2020
Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software
AAAI 2020
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
CVPR 2020
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss
NeurIPS 2020
Value-driven Hindsight Modelling
NeurIPS 2020
Value Preserving State-Action Abstractions
AISTATS 2020
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis
NeurIPS 2020
Variance Reduction for Evolution Strategies via Structured Control Variates
AISTATS 2020
Variational Adversarial Kernel Learned Imitation Learning
AAAI 2020
Variational Imitation Learning with Diverse-quality Demonstrations
ICML 2020
Variational Policy Gradient Method for Reinforcement Learning with General Utilities
NeurIPS 2020
Variational Recurrent Models for Solving Partially Observable Control Tasks
ICLR 2020