Deep RL
4,525 papers
Papers per year
1
9
14
15
9
21
27
32
21
17
11
33
103
241
418
498
571
533
585
678
507
181
'5
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Papers
Exploration by Distributional Reinforcement Learning
IJCAI 2018
Extracting Action Sequences from Texts Based on Deep Reinforcement Learning
IJCAI 2018
Fast Bellman Updates for Robust MDPs
ICML 2018
Fast deep reinforcement learning using online adjustments from the past
NeurIPS 2018
Feedback-Based Tree Search for Reinforcement Learning
ICML 2018
Feudal Reinforcement Learning for Dialogue Management in Large Domains
NAACL 2018
FFNet: Video Fast-Forwarding via Reinforcement Learning
CVPR 2018
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces
IJCAI 2018
Focused Hierarchical RNNs for Conditional Sequence Processing
ICML 2018
Fourier Policy Gradients
ICML 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments
ICML 2018
Genetic-Gated Networks for Deep Reinforcement Learning
NeurIPS 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
ICML 2018
Goal-HSVI: Heuristic Search Value Iteration for Goal POMDPs
IJCAI 2018
GraphBit: Bitwise Interaction Mining via Deep Reinforcement Learning
CVPR 2018
Guide Actor-Critic for Continuous Control
ICLR 2018
Hardware Conditioned Policies for Multi-Robot Transfer Learning
NeurIPS 2018
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning
IJCAI 2018
Hierarchical Imitation and Reinforcement Learning
ICML 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
ICML 2018
Implicit Quantile Networks for Distributional Reinforcement Learning
ICML 2018
Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty
IJCAI 2018
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
NeurIPS 2018
Improving Reinforcement Learning with Human Input
IJCAI 2018
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing
NeurIPS 2018