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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)

Worst Cases Policy Gradients CORL 2019
Macro-Action-Based Deep Multi-Agent Reinforcement Learning CORL 2019
Dynamic Experience Replay CORL 2019
Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems CORL 2019
A Divergence Minimization Perspective on Imitation Learning Methods CORL 2019
Receding Horizon Curiosity CORL 2019
Certified Adversarial Robustness for Deep Reinforcement Learning CORL 2019
Asynchronous Methods for Model-Based Reinforcement Learning CORL 2019
Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods CORL 2019
Entity Abstraction in Visual Model-Based Reinforcement Learning CORL 2019
A Model-Free Affective Reinforcement Learning Approach to Personalization of an Autonomous Social Robot Companion for Early Literacy Education AAAI 2019
Deriving Subgoals Autonomously to Accelerate Learning in Sparse Reward Domains AAAI 2019
VidyutVanika: A Reinforcement Learning Based Broker Agent for a Power Trading Competition AAAI 2019
Deep Reinforcement Learning for Syntactic Error Repair in Student Programs AAAI 2019
Combo-Action: Training Agent For FPS Game with Auxiliary Tasks AAAI 2019
A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems AAAI 2019
Deep Reinforcement Learning for Green Security Games with Real-Time Information AAAI 2019
Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods AAAI 2019
Online Pandora’s Boxes and Bandits AAAI 2019
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines AAAI 2019
Task Transfer by Preference-Based Cost Learning AAAI 2019
Generation of Policy-Level Explanations for Reinforcement Learning AAAI 2019
Augmenting Markov Decision Processes with Advising AAAI 2019
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning AAAI 2019
Goal-Oriented Dialogue Policy Learning from Failures AAAI 2019