Home      Library      Discussions      About
Join us

@cs.unh.edu

Apr 18, 2019
Machine Learning
Artificial Intelligence

Robust Exploration with Tight Bayesian Plausibility Sets

Optimism about the poorly understood states and actions is the main driving force of exploration for many provably-efficient reinforcement learning a…
Oct 03, 2020
Artificial Intelligence
Multiagent Systems
Robotics

EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding

Multi-Agent Path Finding (MAPF), i.e., finding collision-free paths for multiple robots, is important for many applications where small runtimes are …
Jan 05, 2021
Machine Learning

Robust Maximum Entropy Behavior Cloning

Imitation learning (IL) algorithms use expert demonstrations to learn a specific task. Most of the existing approaches assume that all expert demonst…
Jan 21, 2019
Machine Learning

In this paper we have presented a brief survey on probabilistic reinforcement learning. We focused on two major aspects of developing RL algorithms: i) balancing the exploration-exploitation trade off and ii) computing a robust policy with limited d…

A Short Survey on Probabilistic Reinforcement Learning

A reinforcement learning agent tries to maximize its cumulative payoff by interacting in an unknown environment. It is important for the agent to exp…
Jun 15, 2017
Machine Learning

A Practical Method for Solving Contextual Bandit Problems Using Decis…

Many efficient algorithms with strong theoretical guarantees have been proposed for the contextual multi-armed bandit problem. However, applying thes…
May 13, 2017
Information Retrieval

Benchmark for Complex Answer Retrieval

Retrieving paragraphs to populate a Wikipedia article is a challenging task. The new TREC Complex Answer Retrieval (TREC CAR) track introduces a comp…
Dec 04, 2019
Artificial Intelligence
Logic in Computer Science

A Probabilistic Approach to Satisfiability of Propositional Logic F…

We propose a version of WalkSAT algorithm, named as BetaWalkSAT. This method uses probabilistic reasoning for biasing the starting state of the local…
There aren't more papers

Request Comment

or Invite via email
You are asking your first question!
How to quickly get a good answer:
  • Keep your question short and to the point
  • Check for grammar or spelling errors.
  • Phrase it like a question
Test
Test description