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Reinforcement Learning

1,328 papers

Papers per year

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Papers

Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations RSS 2020
Generalization of Reinforcement Learners with Working and Episodic Memory NIPS 2019
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning NIPS 2019
Language as an Abstraction for Hierarchical Deep Reinforcement Learning NIPS 2019
Learning dynamic polynomial proofs NIPS 2019
RUDDER: Return Decomposition for Delayed Rewards NIPS 2019
Regret Bounds for Thompson Sampling in Episodic Restless Bandit Problems NIPS 2019
Mapping State Space using Landmarks for Universal Goal Reaching NIPS 2019
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards NIPS 2019
Learning Generalizable Device Placement Algorithms for Distributed Machine Learning NIPS 2019
Distributional Policy Optimization: An Alternative Approach for Continuous Control NIPS 2019
Learning Compositional Neural Programs with Recursive Tree Search and Planning NIPS 2019
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation NIPS 2019
Distributional Reward Decomposition for Reinforcement Learning NIPS 2019
Neural Temporal-Difference Learning Converges to Global Optima NIPS 2019
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NIPS 2019
Divergence-Augmented Policy Optimization NIPS 2019
Using a Logarithmic Mapping to Enable Lower Discount Factors in Reinforcement Learning NIPS 2019
Abstract Reasoning with Distracting Features NIPS 2019
Fully Parameterized Quantile Function for Distributional Reinforcement Learning NIPS 2019
PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning CORL 2019
HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators CORL 2019
Learning to Navigate Using Mid-Level Visual Priors CORL 2019
Deep Value Model Predictive Control CORL 2019
Experience-Embedded Visual Foresight CORL 2019