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Found 11 papers, 2 papers with code
Towards Automated Real-time Evaluation in Text-based Counseling
However, these methods often demand large scale and high quality counseling data, which are difficult to collect.
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning
Reactive motion generation problems are usually solved by computing actions as a sum of policies.
Imitation Learning via Simultaneous Optimization of Policies and Auxiliary Trajectories
Many IL methods, such as Dataset Aggregation (DAgger), combat challenges like distributional shift by interacting with oracular experts.
A Rational Inattention Theory of Echo Chamber
Each player allocates his limited attention capacity between biased sources and the other players, and the resulting stochastic attention network facilitates the transmission of information from primary sources to him either directly or indirectly through the other players.
RMP2: A Structured Composable Policy Class for Robot Learning
Using RMPflow as a structured policy class in learning has several benefits, such as sufficient expressiveness, the flexibility to inject different levels of prior knowledge as well as the ability to transfer policies between robots.
Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees
The policy structure provides the user an interface to 1) specifying the spaces that are directly relevant to the completion of the tasks, and 2) designing policies for certain tasks that do not need to be learned.
Electoral Accountability and Selection with Personalized Information Aggregation
We study a model of electoral accountability and selection (EAS) in which heterogeneous voters can aggregate the incumbent's performance data into personalized signals through paying limited attention.
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems
The complex motions are encoded as rollouts of a stable dynamical system, which, under a change of coordinates defined by a diffeomorphism, is equivalent to a simple, hand-specified dynamical system.
The Politics of Personalized News Aggregation
We study how personalized news aggregation for rational inattentive voters (NARI) affects policy polarization and public opinion.
Propaganda, Alternative Media, and Accountability in Fragile Democracies
In addition to regular high- and low-competence types, the incumbent may be an aspiring autocrat who controls the mainstream media and will subvert democracy if retained in office.
Multi-Objective Policy Generation for Multi-Robot Systems Using Riemannian Motion Policies
We propose a collection of RMPs for simple multi-robot tasks that can be used for building controllers for more complicated tasks.
Robotics
