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Reinforcement Learning

7,982 papers (84 classified directly here)

Subtopics

Methods (6,493) Applications (2,922)

Papers per year

9
43
48
875
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Papers (including subtopics)

Feedback-Based Tree Search for Reinforcement Learning ICML 2018
Regret Minimization for Partially Observable Deep Reinforcement Learning ICML 2018
Policy Optimization with Demonstrations ICML 2018
Continual Reinforcement Learning with Complex Synapses ICML 2018
Focused Hierarchical RNNs for Conditional Sequence Processing ICML 2018
Hierarchical Imitation and Reinforcement Learning ICML 2018
Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling ICML 2018
RLlib: Abstractions for Distributed Reinforcement Learning ICML 2018
End-to-end Active Object Tracking via Reinforcement Learning ICML 2018
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning ICML 2018
Configurable Markov Decision Processes ICML 2018
The Hierarchical Adaptive Forgetting Variational Filter ICML 2018
Smoothed Action Value Functions for Learning Gaussian Policies ICML 2018
The Uncertainty Bellman Equation and Exploration ICML 2018
Self-Imitation Learning ICML 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018
Stochastic Variance-Reduced Policy Gradient ICML 2018
Time Limits in Reinforcement Learning ICML 2018
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos ICML 2018
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games? ICML 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning ICML 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning ICML 2018
Learning by Playing Solving Sparse Reward Tasks from Scratch ICML 2018
Progress & Compress: A scalable framework for continual learning ICML 2018
TACO: Learning Task Decomposition via Temporal Alignment for Control ICML 2018