Co-occurring keywords · papers mentioning both
Papers
Learning Diverse Policies in MOBA Games via Macro-Goals
NeurIPS 2021
Learning Large Neighborhood Search Policy for Integer Programming
NeurIPS 2021
Learning Markov State Abstractions for Deep Reinforcement Learning
NeurIPS 2021
Learning the Non-Differentiable Optimization for Blind Super-Resolution
CVPR 2021
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles
CoRL 2021
Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild
CVPR 2021
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
AAAI 2021
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
CoRL 2021
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning
NeurIPS 2021
Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork
IJCAI 2021
Leveraging on Deep Reinforcement Learning for Autonomous Safe Decision-Making in Highway On-ramp Merging (Student Abstract)
AAAI 2021
Machine versus Human Attention in Deep Reinforcement Learning Tasks
NeurIPS 2021
Mean Field Games Flock! The Reinforcement Learning Way
IJCAI 2021
MICo: Improved representations via sampling-based state similarity for Markov decision processes
NeurIPS 2021
Monotonic Robust Policy Optimization with Model Discrepancy
ICML 2021
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems
AAAI 2021
MushroomRL: Simplifying Reinforcement Learning Research
JMLR 2021
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization
ICML 2021
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL
NeurIPS 2021
No-Regret Reinforcement Learning with Heavy-Tailed Rewards
AISTATS 2021
NovelD: A Simple yet Effective Exploration Criterion
NeurIPS 2021
One Protocol to Rule Them All: Wireless Network-on-Chip using Deep Reinforcement Learning
NSDI 2021
Online 3D Bin Packing with Constrained Deep Reinforcement Learning
AAAI 2021
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion
ICML 2021
On the role of planning in model-based deep reinforcement learning
ICLR 2021