conftrace_

partial observability

119 papers

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PO

Co-occurring keywords

reinforcement learning (4352) multi-agent reinforcement learning (538) multi-agent system (1819) deep reinforcement learning (903) partially observable markov decision process (178) markov decision process (790) policy learning (702) partially observable environment (33) recurrent neural network (1790) graph neural network (3962)

Papers

Tracking Disease Outbreaks from Sparse Data with Bayesian Inference AAAI 2021
Vector Quantized Models for Planning ICML 2021
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning ICML 2021
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning AISTATS 2020
Controlling Contact-Rich Manipulation Under Partial Observability RSS 2020
Causal Effect Identifiability under Partial-Observability ICML 2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation CORL 2020
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract) IJCAI 2020
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems NIPS 2020
Algorithmic Improvements for Deep Reinforcement Learning Applied to Interactive Fiction AAAI 2020
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL IJCAI 2020
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games NIPS 2020
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability CORL 2020
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics NIPS 2020
Agbots 2.0: Weeding Denser Fields with Fewer Robots RSS 2020
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning EMNLP 2020
AI-Toolbox: A C++ library for Reinforcement Learning and Planning (with Python Bindings) JMLR 2020
TarMAC: Targeted Multi-Agent Communication ICML 2019
Multiagent Decision Making and Learning in Urban Environments IJCAI 2019
An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments IJCAI 2019
Some Things are Easier for the Dumb and the Bright Ones (Beware the Average!) IJCAI 2019
ATSIS: Achieving the Ad hoc Teamwork by Sub-task Inference and Selection IJCAI 2019
Learning Factored Markov Decision Processes with Unawareness UAI 2019
Stochastic Goal Recognition Design AAAI 2019
A Unified Framework for Planning in Adversarial and Cooperative Environments AAAI 2019