Methods
8,258 papers (12 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
6
1
2
2
16
21
24
16
31
36
44
47
44
37
63
171
350
606
801
920
974
1,144
1,380
1,203
319
'5
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Papers (including subtopics)
Sample-efficient Cross-Entropy Method for Real-time Planning
CoRL 2020
Sample Efficient Policy Gradient Methods with Recursive Variance Reduction
ICLR 2020
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
NeurIPS 2020
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning
ICML 2020
Scalable Methods for Computing State Similarity in Deterministic Markov Decision Processes
AAAI 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward
NeurIPS 2020
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems
L4DC 2020
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks
AAAI 2020
Scaling data-driven robotics with reward sketching and batch reinforcement learning
RSS 2020
Security Analysis of Safe and Seldonian Reinforcement Learning Algorithms
NeurIPS 2020
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference
ICLR 2020
Selecting Portfolios Directly Using Recurrent Reinforcement Learning (Student Abstract)
AAAI 2020
Selective Dyna-Style Planning Under Limited Model Capacity
ICML 2020
Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation
CVPR 2020
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning
IJCAI 2020
Self-Guided Evolution Strategies with Historical Estimated Gradients
IJCAI 2020
Self-Imitation Learning via Generalized Lower Bound Q-learning
NeurIPS 2020
Self-Paced Deep Reinforcement Learning
NeurIPS 2020
Semi-Markov Reinforcement Learning for Stochastic Resource Collection
IJCAI 2020
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation
ACL 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning
AAAI 2020
Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games
AAAI 2020
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning
NeurIPS 2020
Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays
CoRL 2020
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
ICLR 2020