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deep reinforcement learning

903 papers

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Also known as

DRQN DEEP RL DDQ DQN DRL DRL NULL DRL OR NULL DQFD RL

Co-occurring keywords

reinforcement learning (4122) policy learning (699) sample efficiency (469) neural network (6616) continuous control (246) multi-agent system (1743) policy gradient (518) policy optimization (630) value function (294) off-policy learning (227)

Papers

Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning CVPR 2021
Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork IJCAI 2021
Iterative Amortized Policy Optimization NIPS 2021
SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity NSDI 2021
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NIPS 2021
Learning 3-opt heuristics for traveling salesman problem via deep reinforcement learning ACML 2021
Time-Constrained Multi-Agent Path Finding in Non-Lattice Graphs with Deep Reinforcement Learning ACML 2021
Building Decision Tree for Imbalanced Classification via Deep Reinforcement Learning ACML 2021
A Minimalist Approach to Offline Reinforcement Learning NIPS 2021
Robust Deep Reinforcement Learning through Adversarial Loss NIPS 2021
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning NIPS 2021
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning CORL 2021
Scaling Up Multi-Task Robotic Reinforcement Learning CORL 2021
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video CORL 2021
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles CORL 2021
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots CORL 2021
Smooth Exploration for Robotic Reinforcement Learning CORL 2021
Formal verification of neural networks for safety-critical tasks in deep reinforcement learning UAI 2021
Investigating vulnerabilities of deep neural policies UAI 2021
MICo: Improved representations via sampling-based state similarity for Markov decision processes NIPS 2021
HJB-RL: Initializing Reinforcement Learning with Optimal Control Policies Applied to Autonomous Drone Racing RSS 2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study RSS 2021
Learning Large Neighborhood Search Policy for Integer Programming NIPS 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice NIPS 2021
Machine versus Human Attention in Deep Reinforcement Learning Tasks NIPS 2021