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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)

Reinforcement Learning with Deep Energy-Based Policies ICML 2017
Data-Efficient Policy Evaluation Through Behavior Policy Search ICML 2017
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning ICML 2017
Fairness in Reinforcement Learning ICML 2017
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017
Contextual Decision Processes with low Bellman rank are PAC-Learnable ICML 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics ICML 2017
Learning in POMDPs with Monte Carlo Tree Search ICML 2017
Provably Optimal Algorithms for Generalized Linear Contextual Bandits ICML 2017
Interactive Learning from Policy-Dependent Human Feedback ICML 2017
A Laplacian Framework for Option Discovery in Reinforcement Learning ICML 2017
Device Placement Optimization with Reinforcement Learning ICML 2017
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning ICML 2017
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability ICML 2017
Why is Posterior Sampling Better than Optimism for Reinforcement Learning? ICML 2017
Count-Based Exploration with Neural Density Models ICML 2017
Curiosity-driven Exploration by Self-supervised Prediction ICML 2017
Robust Adversarial Reinforcement Learning ICML 2017
Neural Episodic Control ICML 2017
Hierarchy Through Composition with Multitask LMDPs ICML 2017
World of Bits: An Open-Domain Platform for Web-Based Agents ICML 2017
The Predictron: End-To-End Learning and Planning ICML 2017
Safety-Aware Algorithms for Adversarial Contextual Bandit ICML 2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction ICML 2017
Boosted Fitted Q-Iteration ICML 2017