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Deep RL

3861 directly classified papers

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Papers

Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning IJCAI 2020
Potential Driven Reinforcement Learning for Hard Exploration Tasks IJCAI 2020
Flow-based Intrinsic Curiosity Module IJCAI 2020
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL IJCAI 2020
Exploration Based Language Learning for Text-Based Games IJCAI 2020
Self-Guided Evolution Strategies with Historical Estimated Gradients IJCAI 2020
Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning IJCAI 2020
Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach IJCAI 2020
A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation IJCAI 2020
Predictive and Adaptive Failure Mitigation to Avert Production Cloud VM Interruptions OSDI 2020
Learning Navigation Costs from Demonstrations with Semantic Observations L4DC 2020
Stable Reinforcement Learning with Unbounded State Space L4DC 2020
Periodic Q-Learning L4DC 2020
High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards CORL 2020
Learning to Walk in the Real World with Minimal Human Effort CORL 2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models CORL 2020
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning CORL 2020
Learning Object-conditioned Exploration using Distributed Soft Actor Critic CORL 2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations CORL 2020
Deep Reactive Planning in Dynamic Environments CORL 2020
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control CORL 2020
Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning CORL 2020
Chaining Behaviors from Data with Model-Free Reinforcement Learning CORL 2020
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity CORL 2020
A Learning-Exploring Method to Generate Diverse Paraphrases with Multi-Objective Deep Reinforcement Learning COLING 2020