Deep RL
4,525 papers
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Papers
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents
AAAI 2020
SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards
ICLR 2020
Stabilizing Transformers for Reinforcement Learning
ICML 2020
Stable Policy Optimization via Off-Policy Divergence Regularization
UAI 2020
Stable Reinforcement Learning with Unbounded State Space
L4DC 2020
Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations
EMNLP 2020
Steady State Analysis of Episodic Reinforcement Learning
NeurIPS 2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning
AAAI 2020
Stochastically Dominant Distributional Reinforcement Learning
ICML 2020
Stochastic Curiosity Exploration for Dialogue Systems
Interspeech 2020
Stochastic Flows and Geometric Optimization on the Orthogonal Group
ICML 2020
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model
NeurIPS 2020
Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data
CVPR 2020
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling
ICML 2020
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
ICML 2020
Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning
ICML 2020
Sub-policy Adaptation for Hierarchical Reinforcement Learning
ICLR 2020
SVQN: Sequential Variational Soft Q-Learning Networks
ICLR 2020
SVRG for Policy Evaluation with Fewer Gradient Evaluations
IJCAI 2020
Syntactic and Semantic-driven Learning for Open Information Extraction
EMNLP 2020
Task-agnostic Exploration in Reinforcement Learning
NeurIPS 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
NeurIPS 2020
Task-Completion Dialogue Policy Learning via Monte Carlo Tree Search with Dueling Network
EMNLP 2020
Text Simplification with Reinforcement Learning Using Supervised Rewards on Grammaticality, Meaning Preservation, and Simplicity
AACL 2020
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
NeurIPS 2020