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Deep RL

3861 directly classified papers

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Papers

Bootstrapping a Neural Conversational Agent with Dialogue Self-Play, Crowdsourcing and On-Line Reinforcement Learning NAACL 2018
Learning to Explore via Meta-Policy Gradient ICML 2018
The Mirage of Action-Dependent Baselines in Reinforcement Learning ICML 2018
Autonomous Sub-domain Modeling for Dialogue Policy with Hierarchical Deep Reinforcement Learning EMNLP 2018
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning EMNLP 2018
Experience Selection in Deep Reinforcement Learning for Control JMLR 2018
Model-Free Trajectory-based Policy Optimization with Monotonic Improvement JMLR 2018
On Generalized Bellman Equations and Temporal-Difference Learning JMLR 2018
Model-Based Reinforcement Learning via Meta-Policy Optimization CORL 2018
Motion Perception in Reinforcement Learning with Dynamic Objects CORL 2018
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal CORL 2018
Benchmarks for reinforcement learning in mixed-autonomy traffic CORL 2018
Energy-Based Hindsight Experience Prioritization CORL 2018
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation CORL 2018
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions CORL 2018
Adaptable replanning with compressed linear action models for learning from demonstrations CORL 2018
Benchmarking Reinforcement Learning Algorithms on Real-World Robots CORL 2018
Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++ CVPR 2018
Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks CVPR 2018
Lipschitz Continuity in Model-based Reinforcement Learning ICML 2018
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement ICML 2018
Path-Level Network Transformation for Efficient Architecture Search ICML 2018
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings ICML 2018
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms ICML 2018
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation ICML 2018