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06/28/2023
RL^3: Boosting Meta Reinforcement Learning via RL inside RL^2
Meta reinforcement learning (meta-RL) methods such as RL^2 have emerged ...
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06/06/2022
Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL
Model-based reinforcement learning promises to learn an optimal policy f...
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06/01/2022
Dense Crowd Flow-Informed Path Planning
Both pedestrian and robot comfort are of the highest priority whenever a...
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05/30/2022
A Unifying Framework for Causal Explanation of Sequential Decision Making
We present a novel framework for causal explanations of stochastic, sequ...
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09/28/2021
Competence-Aware Path Planning via Introspective Perception
Robots deployed in the real world over extended periods of time need to ...
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08/01/2021
Agent-aware State Estimation in Autonomous Vehicles
Autonomous systems often operate in environments where the behavior of m...
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02/13/2021
Mitigating Negative Side Effects via Environment Shaping
Agents operating in unstructured environments often produce negative sid...
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02/08/2021
Learning to Generate Fair Clusters from Demonstrations
Fair clustering is the process of grouping similar entities together, wh...
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10/10/2020
Helpfulness as a Key Metric of Human-Robot Collaboration
As robotic teammates become more common in society, people will assess t...
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08/24/2020
Avoiding Negative Side Effects due to Incomplete Knowledge of AI Systems
Autonomous agents acting in the real-world often operate based on models...
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07/23/2020
Improving Competence for Reliable Autonomy
Given the complexity of real-world, unstructured domains, it is often im...
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03/17/2020
Learning to Optimize Autonomy in Competence-Aware Systems
Interest in semi-autonomous systems (SAS) is growing rapidly as a paradi...
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12/17/2019
Balancing the Tradeoff Between Clustering Value and Interpretability
Graph clustering groups entities – the vertices of a graph – based on th...
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09/13/2019
Responsive Planning and Recognition for Closed-Loop Interaction
Many intelligent systems currently interact with others using at least o...
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05/22/2019
Minimizing the Negative Side Effects of Planning with Reduced Models
Reduced models of large Markov decision processes accelerate planning by...
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03/02/2019
Lexicographically Ordered Multi-Objective Clustering
We introduce a rich model for multi-objective clustering with lexicograp...
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10/18/2018
Planning in Stochastic Environments with Goal Uncertainty
We present the Goal Uncertain Stochastic Shortest Path (GUSSP) problem -...
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02/16/2018
An Anytime Algorithm for Task and Motion MDPs
Integrated task and motion planning has emerged as a challenging problem...
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05/21/2017
Generalizing the Role of Determinization in Probabilistic Planning
The stochastic shortest path problem (SSP) is a highly expressive model ...
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12/01/2016
Robust Optimization for Tree-Structured Stochastic Network Design
Stochastic network design is a general framework for optimizing network ...
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01/15/2014
A Bilinear Programming Approach for Multiagent Planning
Multiagent planning and coordination problems are common and known to be...
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01/15/2014
Policy Iteration for Decentralized Control of Markov Decision Processes
Coordination of distributed agents is required for problems arising in m...
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01/16/2013
The Complexity of Decentralized Control of Markov Decision Processes
Planning for distributed agents with partial state information is consid...
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10/19/2012
Symbolic Generalization for On-line Planning
Symbolic representations have been used successfully in off-line plannin...
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07/11/2012
Region-Based Incremental Pruning for POMDPs
We present a major improvement to the incremental pruning algorithm for ...
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07/04/2012
MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs
We present multi-agent A* (MAA*), the first complete and optimal heurist...
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03/15/2012
Rollout Sampling Policy Iteration for Decentralized POMDPs
We present decentralized rollout sampling policy iteration (DecRSPI) - a...
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03/15/2012
Anytime Planning for Decentralized POMDPs using Expectation Maximization
Decentralized POMDPs provide an expressive framework for multi-agent seq...
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02/14/2012
Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation
Computing maximum a posteriori (MAP) estimation in graphical models is a...
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10/31/2011
Communication-Based Decomposition Mechanisms for Decentralized MDPs
Multi-agent planning in stochastic environments can be framed formally a...
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05/11/2010