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Reinforcement Learning

2932 directly classified papers

Papers per year

Papers

Reasoning on Knowledge Graphs with Debate Dynamics AAAI 2020
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction AAAI 2020
Generative Exploration and Exploitation AAAI 2020
Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020
Count-Based Exploration with the Successor Representation AAAI 2020
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020
Uncorrected Least-Squares Temporal Difference with Lambda-Return AAAI 2020
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks AAAI 2020
How Should an Agent Practice? AAAI 2020
Gamma-Nets: Generalizing Value Estimation over Timescale AAAI 2020
On the Convergence of Model Free Learning in Mean Field Games AAAI 2020
Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal AAAI 2020
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach AAAI 2020
Reinforcement Learning with Perturbed Rewards AAAI 2020
Reinforcement Learning Based Meta-Path Discovery in Large-Scale Heterogeneous Information Networks AAAI 2020
Deep Conservative Policy Iteration AAAI 2020
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning AAAI 2020
Attentive Experience Replay AAAI 2020
Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents AAAI 2020
On the Role of Weight Sharing During Deep Option Learning AAAI 2020
Induction of Subgoal Automata for Reinforcement Learning AAAI 2020
Gradient-Aware Model-Based Policy Search AAAI 2020
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control AAAI 2020
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation EMNLP 2020
Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems EMNLP 2020