Deep RL
4,525 papers
Papers per year
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14
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9
21
27
32
21
17
11
33
103
241
418
498
571
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585
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181
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Papers
StateMask: Explaining Deep Reinforcement Learning through State Mask
NeurIPS 2023
State Sequences Prediction via Fourier Transform for Representation Learning
NeurIPS 2023
State-wise Safe Reinforcement Learning: A Survey
IJCAI 2023
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning
ICML 2023
STEER: Unified Style Transfer with Expert Reinforcement
EMNLP 2023
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning
ICML 2023
STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning
AAAI 2023
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning
NeurIPS 2023
Structured State Space Models for In-Context Reinforcement Learning
NeurIPS 2023
StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model
ICCV 2023
Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks
AAAI 2023
Successor-Predecessor Intrinsic Exploration
NeurIPS 2023
Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning
NeurIPS 2023
Supervised Pretraining Can Learn In-Context Reinforcement Learning
NeurIPS 2023
SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs
UAI 2023
Taming Continuous Posteriors for Latent Variational Dialogue Policies
AAAI 2023
Task-aware world model learning with meta weighting via bi-level optimization
NeurIPS 2023
Taylor TD-learning
NeurIPS 2023
TD Convergence: An Optimization Perspective
NeurIPS 2023
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning
NeurIPS 2023
Temporal Abstraction in Reinforcement Learning with the Successor Representation
JMLR 2023
Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning
EMNLP 2023
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning
NeurIPS 2023
The Benefits of Model-Based Generalization in Reinforcement Learning
ICML 2023
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
NeurIPS 2023