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← Reinforcement Learning
Reinforcement Learning ›

Methods

6,493 papers (10 classified directly here)

Subtopics

Deep RL (3,886) Policy Learning (2,076) Multi-Agent Systems (1,019) Offline RL (726) Meta-Learning (25) Model-Based RL (12)

Papers per year

2
31
34
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530
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Papers (including subtopics)

Action Robust Reinforcement Learning and Applications in Continuous Control ICML 2019
ELF OpenGo: an analysis and open reimplementation of AlphaZero ICML 2019
Transfer of Samples in Policy Search via Multiple Importance Sampling ICML 2019
Composing Value Functions in Reinforcement Learning ICML 2019
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation ICML 2019
Non-Monotonic Sequential Text Generation ICML 2019
Imitation Learning from Imperfect Demonstration ICML 2019
Learning a Prior over Intent via Meta-Inverse Reinforcement Learning ICML 2019
Sample-Optimal Parametric Q-Learning Using Linearly Additive Features ICML 2019
Multi-Agent Adversarial Inverse Reinforcement Learning ICML 2019
SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning ICML 2019
Learning Novel Policies For Tasks ICML 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning ICML 2019
Explicitly Coordinated Policy Iteration IJCAI 2019
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent IJCAI 2019
Model-Free Model Reconciliation IJCAI 2019
A Regularized Opponent Model with Maximum Entropy Objective IJCAI 2019
Exploring the Task Cooperation in Multi-goal Visual Navigation IJCAI 2019
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework IJCAI 2019
Densely Supervised Hierarchical Policy-Value Network for Image Paragraph Generation IJCAI 2019
DeltaDou: Expert-level Doudizhu AI through Self-play IJCAI 2019
Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game IJCAI 2019
The Expected-Length Model of Options IJCAI 2019
Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts IJCAI 2019
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments IJCAI 2019