Causal Inference Q-Network: Toward Resilient Reinforcement Learning

No abstract is available for this paper.

• Publication year

  2021

• Venue

  arXiv.org

• Publication date

  Unknown publication date

• Fields of study

  Computer Science, Engineering

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Causal Imitation Learning With Unobserved Confounders

  2022cited by this paper
• Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning

  2020cited by this paper
• Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement

  2020cited by this paper
• Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach

  2020cited by this paper
• Multi-Task Language Modeling for Improving Speech Recognition of Rare Words

  2020cited by this paper
• A Causal View on Robustness of Neural Networks

  2020cited by this paper
• Invariant Causal Prediction for Block MDPs

  2020cited by this paper
• Causality

  2019influential reference
• Transfer in Deep Reinforcement Learning Using Knowledge Graphs

  2019cited by this paper
• Behaviour Suite for Reinforcement Learning

  2019cited by this paper
• Variational Quantum Circuits for Deep Reinforcement Learning

  2019cited by this paper
• When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks

  2019cited by this paper
• Adversarial Training Can Hurt Generalization

  2019cited by this paper
• A Survey of Autonomous Driving: Common Practices and Emerging Technologies

  2019cited by this paper
• The seven tools of causal inference, with reflections on machine learning

  2019cited by this paper
• Causal Identification under Markov Equivalence: Completeness Results

  2019cited by this paper
• Explainable Reinforcement Learning Through a Causal Lens

  2019cited by this paper
• Meta reinforcement learning as task inference

  2019cited by this paper
• Go-Explore: a New Approach for Hard-Exploration Problems

  2019cited by this paper
• A survey of deep learning techniques for autonomous driving

  2019cited by this paper
• Off-Policy Evaluation in Partially Observable Environments

  2019cited by this paper
• Towards a Definition of Disentangled Representations

  2018cited by this paper
• Bayesian Policy Optimization for Model Uncertainty

  2018cited by this paper
• Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

  2018influential reference
• Unity: A General Platform for Intelligent Agents

  2018influential reference
• Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models

  2018cited by this paper
• Deep Variational Reinforcement Learning for POMDPs

  2018influential reference
• Temporal Difference Variational Auto-Encoder

  2018cited by this paper
• QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation

  2018cited by this paper
• Neural belief states for partially observed domains

  2018cited by this paper
• Deconfounding Reinforcement Learning in Observational Settings

  2018cited by this paper
• Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning

  2018cited by this paper
• Learning Latent Dynamics for Planning from Pixels

  2018cited by this paper
• Adversarial Attacks on Neural Network Policies

  2017cited by this paper
• Causal Effect Inference with Deep Latent-Variable Models

  2017influential reference
• Safe Reinforcement Learning via Shielding

  2017cited by this paper
• Tactics of Adversarial Attack on Deep Reinforcement Learning Agents

  2017cited by this paper
• Noisy Networks for Exploration

  2017cited by this paper
• Trial without Error: Towards Safe Reinforcement Learning via Human Intervention

  2017cited by this paper
• Counterfactual Data-Fusion for Online Reinforcement Learners

  2017cited by this paper
• Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation

  2017cited by this paper
• Distributional Reinforcement Learning with Quantile Regression

  2017cited by this paper
• Visualizing and Understanding Atari Agents

  2017cited by this paper
• Mastering the game of Go without human knowledge

  2017cited by this paper
• Stable reinforcement learning with autoencoders for tactile and visual data

  2016cited by this paper
• Asynchronous Methods for Deep Reinforcement Learning

  2016cited by this paper
• Estimating individual treatment effect: generalization bounds and algorithms

  2016influential reference
• Can You Trust Autonomous Vehicles : Contactless Attacks against Sensors of Self-driving Vehicle

  2016cited by this paper
• Learning to Navigate in Complex Environments

  2016cited by this paper
• Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates

  2016cited by this paper
• Causal Inference in Statistics: A Primer

  2016cited by this paper
• Taming the Noise in Reinforcement Learning via Soft Updates

  2015cited by this paper
• High-Confidence Off-Policy Evaluation

  2015cited by this paper
• Bandits with Unobserved Confounders: A Causal Approach

  2015cited by this paper
• Human-level control through deep reinforcement learning

  2015cited by this paper
• On estimation of wind velocity, angle-of-attack and sideslip angle of small UAVs using standard sensors

  2015cited by this paper
• Deep Reinforcement Learning with Double Q-Learning

  2015cited by this paper
• Explaining and Harnessing Adversarial Examples

  2014cited by this paper
• Adam: A Method for Stochastic Optimization

  2014cited by this paper
• Auto-Encoding Variational Bayes

  2013cited by this paper
• Intriguing properties of neural networks

  2013cited by this paper
• Deep Learning of Representations: Looking Forward

  2013cited by this paper
• MuJoCo: A physics engine for model-based control

  2012cited by this paper
• Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization

  2012cited by this paper
• Safe Exploration of State and Action Spaces in Reinforcement Learning

  2012cited by this paper
• Rubin Causal Model

  2011cited by this paper
• Causal inference

  2011cited by this paper
• Causation and causal inference in epidemiology.

  2005cited by this paper
• Causal diagrams for epidemiologic research.

  1999cited by this paper
• Reinforcement Learning: An Introduction

  1998cited by this paper
• Planning and Acting in Partially Observable Stochastic Domains

  1998cited by this paper
• Analysis of semiparametric regression models for repeated outcomes in the presence of missing data

  1995cited by this paper
• On the Testability of Causal Models With Latent and Instrumental Variables

  1995influential reference
• Causal diagrams for empirical research

  1995influential reference
• Learning Complex, Extended Sequences Using the Principle of History Compression

  1992cited by this paper
• Reinforcement Learning in Markovian and Non-markovian Environments

  1991cited by this paper
• The Complexity of Markov Decision Processes

  1987cited by this paper
• Digital control of dynamic systems

  1981cited by this paper
• Estimating causal effects of treatments in randomized and nonrandomized studies.

  1974cited by this paper

• Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality

  2024cites this paper
• LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning

  2024influential citation
• Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels

  2024cites this paper
• Causal Deep Learning

  2023cites this paper
• Resilient Constrained Reinforcement Learning

  2023cites this paper
• Conditional Modeling-Based Automatic Video Summarization

  2023cites this paper
• Causalainer: Causal Explainer for Automatic Video Summarization

  2023cites this paper
• A Novel Approach to Error Resilience in Online Reinforcement Learning

  2023cites this paper
• Certified Robustness of Quantum Classifiers Against Adversarial Examples Through Quantum Noise

  2022cites this paper
• Treatment Learning Transformer for Noisy Image Classification

  2022cites this paper
• Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes

  2022influential citation
• Treatment Learning Causal Transformer for Noisy Image Classification

  2022cites this paper
• LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement

  2021cites this paper
• Jointly Analyzing Causal Abstraction and Semantic Representations for Event Prediction

  2021cites this paper
• Pessimistic Model Selection for Offline Deep Reinforcement Learning

  2021cites this paper
• Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes

  2021cites this paper
• Towards Resilient Artificial Intelligence: Survey and Research Issues

  2021cites this paper
• A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions

  2021cites this paper
• Variational quantum reinforcement learning via evolutionary optimization

  2021cites this paper