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
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722
966
1,128
1,156
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362
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Papers (including subtopics)
Stable-Baselines3: Reliable Reinforcement Learning Implementations
JMLR 2021
State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits
IJCAI 2021
State Entropy Maximization with Random Encoders for Efficient Exploration
ICML 2021
State Relevance for Off-Policy Evaluation
ICML 2021
State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract)
AAAI 2021
Stochastic Actor-Executor-Critic for Image-to-Image Translation
IJCAI 2021
Stochastic Policy Optimization with Heuristic Information for Robot Learning
CoRL 2021
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
NeurIPS 2021
Storchastic: A Framework for General Stochastic Automatic Differentiation
NeurIPS 2021
STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation
CoRL 2021
Strategically efficient exploration in competitive multi-agent reinforcement learning
UAI 2021
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks
AAAI 2021
Strength Through Diversity: Robust Behavior Learning via Mixture Policies
CoRL 2021
Structural Credit Assignment in Neural Networks using Reinforcement Learning
NeurIPS 2021
Structured World Belief for Reinforcement Learning in POMDP
ICML 2021
Subgame solving without common knowledge
NeurIPS 2021
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning
NeurIPS 2021
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning
NeurIPS 2021
Successor Feature Sets: Generalizing Successor Representations Across Policies
AAAI 2021
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
ICML 2021
Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications
AAAI 2021
Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions
IJCAI 2021
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding
NeurIPS 2021
Symmetry-Aware Actor-Critic for 3D Molecular Design
ICLR 2021
Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning
AAAI 2021