Co-occurring keywords · papers mentioning both
reinforcement learning
(36)
multi-agent reinforcement learning
(20)
multi-agent system
(17)
deep reinforcement learning
(13)
partially observable markov decision process
(9)
markov decision process
(9)
policy learning
(7)
partially observable environment
(6)
graph neural network
(6)
imitation learning
(6)
Papers
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games
NeurIPS 2020
Causal Effect Identifiability under Partial-Observability
ICML 2020
Controlling Contact-Rich Manipulation Under Partial Observability
RSS 2020
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
AISTATS 2020
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning
EMNLP 2020
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics
NeurIPS 2020
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL
IJCAI 2020
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
NeurIPS 2020
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract)
IJCAI 2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
CoRL 2020
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments
IJCAI 2019
ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection
IJCAI 2019
A Unified Framework for Planning in Adversarial and Cooperative Environments
AAAI 2019
IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPs
AAAI 2019
Learning Factored Markov Decision Processes with Unawareness
UAI 2019
Multiagent Decision Making and Learning in Urban Environments
IJCAI 2019
Some Things are Easier for the Dumb and the Bright Ones (Beware the Average!)
IJCAI 2019
Stochastic Goal Recognition Design
AAAI 2019
TarMAC: Targeted Multi-Agent Communication
ICML 2019
CCNet: Cluster-Coordinated Net for Learning Multi-agent Communication Protocols with Reinforcement Learning
ACML 2018
Generative Temporal Models with Spatial Memory for Partially Observed Environments
ICML 2018
Regret Minimization for Partially Observable Deep Reinforcement Learning
ICML 2018
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
ICML 2017
Dynamic-Depth Context Tree Weighting
NeurIPS 2017
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach
NeurIPS 2017