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Deep Reinforcement Learning

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TitleStatusHype
Benchmarking Perturbation-based Saliency Maps for Explaining Atari AgentsCode0
Adaptive Remote Sensing Image Attribute Learning for Active Object Detection—0
Reinforcement learning based recommender systems: A survey—0
Deep Reinforcement Learning for Haptic Shared Control in Unknown Tasks—0
Affordance-based Reinforcement Learning for Urban Driving—0
Evaluating the Robustness of Collaborative Agents—0
Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning—0
A Deep Reinforcement Learning Framework for Eco-driving in Connected and Automated Hybrid Electric Vehicles—0
Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning—0
Solving Common-Payoff Games with Approximate Policy IterationCode0
Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for MANETs—0
Deep Reinforcement Learning with Function Properties in Mean Reversion StrategiesCode0
Deep Reinforcement Learning with Quantum-inspired Experience Replay—0
An A* Curriculum Approach to Reinforcement Learning for RGBD Indoor Robot Navigation—0
A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion RecognitionCode0
Effective Communications: A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning over Noisy Channels—0
Hierarchical Meta Reinforcement Learning for Multi-Task EnvironmentsCode0
Understanding and Leveraging Causal Relations in Deep Reinforcement Learning—0
Discrete Predictive Representation for Long-horizon Planning—0
Playing Atari with Capsule Networks: A systematic comparison of CNN and CapsNets-based agents.—0
PGPS : Coupling Policy Gradient with Population-based Search—0
Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning—0
Practical Marginalized Importance Sampling with the Successor Representation—0
Deep Q-Learning with Low Switching Cost—0
Deep Q Learning from Dynamic Demonstration with Behavioral Cloning—0
A Robust Fuel Optimization Strategy For Hybrid Electric Vehicles: A Deep Reinforcement Learning Based Continuous Time Design Approach—0
Interpretable Reinforcement Learning With Neural Symbolic Logic—0
Monotonic Robust Policy Optimization with Model Discrepancy—0
Intrinsically Guided Exploration in Meta Reinforcement Learning—0
Daylight: Assessing Generalization Skills of Deep Reinforcement Learning Agents—0
A Survey on Deep Reinforcement Learning for Audio-Based Applications—0
Optimistic Exploration with Backward Bootstrapped Bonus for Deep Reinforcement Learning—0
ReaPER: Improving Sample Efficiency in Model-Based Latent Imagination—0
Cross-State Self-Constraint for Feature Generalization in Deep Reinforcement Learning—0
Regularization Matters in Policy Optimization - An Empirical Study on Continuous ControlCode0
Faults in Deep Reinforcement Learning Programs: A Taxonomy and A Detection ApproachCode0
Coordinated Multi-Agent Exploration Using Shared Goals—0
FactoredRL: Leveraging Factored Graphs for Deep Reinforcement Learning—0
Factored Action Spaces in Deep Reinforcement Learning—0
Deep Reinforcement Learning With Adaptive Combined Critics—0
Exploring Transferability of Perturbations in Deep Reinforcement Learning—0
Simple Augmentation Goes a Long Way: ADRL for DNN Quantization—0
Compute- and Memory-Efficient Reinforcement Learning with Latent Experience Replay—0
Average Reward Reinforcement Learning with Monotonic Policy Improvement—0
Learning Predictive Communication by Imagination in Networked System Control—0
Learning Latent Landmarks for Generalizable Planning—0
Using Deep Reinforcement Learning to Train and Evaluate Instructional Sequencing Policies for an Intelligent Tutoring System—0
Bounded Myopic Adversaries for Deep Reinforcement Learning Agents—0
Weighted Bellman Backups for Improved Signal-to-Noise in Q-Updates—0
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms—0
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