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Deep RL

3861 directly classified papers

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Papers

Adversarial Active Exploration for Inverse Dynamics Model Learning CORL 2019
Regularizing Model-Based Planning with Energy-Based Models CORL 2019
Data Efficient Reinforcement Learning for Legged Robots CORL 2019
Curiosity-Bottleneck: Exploration By Distilling Task-Specific Novelty ICML 2019
Safe Policy Improvement with Baseline Bootstrapping ICML 2019
Target-Based Temporal-Difference Learning ICML 2019
Kernel-Based Reinforcement Learning in Robust Markov Decision Processes ICML 2019
Taming MAML: Efficient unbiased meta-reinforcement learning ICML 2019
Guided evolutionary strategies: augmenting random search with surrogate gradients ICML 2019
Calibrated Model-Based Deep Reinforcement Learning ICML 2019
A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs ICML 2019
Distributional Reinforcement Learning for Efficient Exploration ICML 2019
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations ICML 2019
Dynamic Measurement Scheduling for Event Forecasting using Deep RL ICML 2019
Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search AAAI 2019
MaMiC: Macro and Micro Curriculum for Robotic Reinforcement Learning AAAI 2019
Network Offloading Policies for Cloud Robotics: A Learning-Based Approach RSS 2019
Harnessing Reinforcement Learning for Neural Motion Planning RSS 2019
Learning to Walk Via Deep Reinforcement Learning RSS 2019
Mapping State Space using Landmarks for Universal Goal Reaching NIPS 2019
Model-Free Linear Quadratic Control via Reduction to Expert Prediction AISTATS 2019
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning EMNLP 2019
Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation EMNLP 2019
Neural Topic Model with Reinforcement Learning EMNLP 2019
Remember and Forget for Experience Replay ICML 2019