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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
727
530
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Papers (including subtopics)

An Imitation Learning Approach to Unsupervised Parsing ACL 2019
Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network ACL 2019
Budgeted Policy Learning for Task-Oriented Dialogue Systems ACL 2019
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning ACL 2019
A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer ACL 2019
A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification ACL 2019
Sequence Labeling Parsing by Learning across Representations ACL 2019
Know More about Each Other: Evolving Dialogue Strategy via Compound Assessment ACL 2019
What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog. ACL 2019
Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation ACL 2019
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling ACL 2019
Random Projection in Neural Episodic Control ACML 2019
Towards Governing Agent’s Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning ACML 2019
A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs ACML 2019
Model-Based Reinforcement Learning Exploiting State-Action Equivalence ACML 2019
Unified Policy Optimization for Robust Reinforcement Learning ACML 2019
Active Exploration in Markov Decision Processes AISTATS 2019
Distilling Policy Distillation AISTATS 2019
Risk-Sensitive Generative Adversarial Imitation Learning AISTATS 2019
Distributional reinforcement learning with linear function approximation AISTATS 2019
The Termination Critic AISTATS 2019
Credit Assignment Techniques in Stochastic Computation Graphs AISTATS 2019
Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems AISTATS 2019
Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective AISTATS 2019
Imitation-Regularized Offline Learning AISTATS 2019