Reinforcement Learning
1,500 papers
Papers per year
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163
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Papers
MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents
NeurIPS 2021
Mastering Atari Games with Limited Data
NeurIPS 2021
Mastering Atari with Discrete World Models
ICLR 2021
Mean Field Games Flock! The Reinforcement Learning Way
IJCAI 2021
Model-Based Reinforcement Learning via Latent-Space Collocation
ICML 2021
Modeling Document-Level Context for Event Detection via Important Context Selection
EMNLP 2021
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems
AAAI 2021
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces
ICLR 2021
Not All Memories are Created Equal: Learning to Forget by Expiring
ICML 2021
Offline Reinforcement Learning with Pseudometric Learning
ICML 2021
One Protocol to Rule Them All: Wireless Network-on-Chip using Deep Reinforcement Learning
NSDI 2021
Online 3D Bin Packing with Constrained Deep Reinforcement Learning
AAAI 2021
On the Model-Based Stochastic Value Gradient for Continuous Reinforcement Learning
L4DC 2021
Open-domain clarification question generation without question examples
EMNLP 2021
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
ICLR 2021
PODS: Policy Optimization via Differentiable Simulation
ICML 2021
Policy Learning Using Weak Supervision
NeurIPS 2021
Predicting Human Scanpaths in Visual Question Answering
CVPR 2021
PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
AAAI 2021
Pushing It Out of the Way: Interactive Visual Navigation
CVPR 2021
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service
AAAI 2021
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
ICLR 2021
RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging
EMNLP 2021
ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning
CVPR 2021
Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration
EMNLP 2021