Reinforcement learning specification for boat navigation
Efficient Reinforcement Learning for Autonomous Navigation
... für Reinforcement- Learning-Algorithmen, wird eine Beschleunigung des Lernprozesses von 10% bei Verwendung des SARSA ∗ -Algorithmus und von bis zu 5% bei Anwendung der ǫ ∗ -gierigen Strategie ...
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Reinforcement learning for robot navigation in constrained environments
... the learning phase both in terms of exploration-exploitation trade-off and convergence rate, algorithms parameters have been accurately tuned to figure out the cor- relation between their values and the ...
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Robot Navigation in Cluttered Environments with Deep Reinforcement Learning
... The Robot Operating System (ROS) is a flexible robotics software framework that provides many of the tools and open source software necessary to build complex robotic systems. ROS provides a communication graph that ...
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Learning navigation attractors for mobile robots with reinforcement learning and reservoir computing
... the navigation task requires that the correct attractor is learned and chosen given a temporary stimulus at the beginning of the ...extended navigation tasks where the robot navigates between rooms of an ...
8
Deep reinforcement learning for drone navigation using sensor data
... generic navigation algorithm that uses data from sensors on-board the drone to guide the drone to the site of the ...deep reinforcement learning algorithm coupled with incremental curriculum ...
20
Autonomous Drone Navigation for Landmark Position Estimation using Reinforcement Learning
... It is basically an optimization problem, which is solved by trial and error. Nev- ertheless, there are some known guidelines, which can be very useful. Firstly, it is not recommended to build sparse reward functions, ...
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Reinforcement learning based navigation for autonomous mobile robots in unknown environments
... location. Reinforcement-learning algorithm in real-time takes a significant long ...the learning rate α factor is kept smaller than simulations at ...
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Towards Continuous Control for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach
... the learning algorithm?” To answer this question, two virtual simulation environments were constructed using Gazebo simulation platform and the robot was trained on these environments using both the standard RL ...
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Reinforcement learning based approach for the navigation of a pipe inspection robot at sharp pipe corners
... a reinforcement learning (RL) based approach for navigating the PIRATE robot to move through sharp pipe corners is designed and ...Specifically, reinforcement learning is employed for ...
67
Reinforcement Learning:
... complete specification of that opponent, including the probabilities with which the opponent makes each move in each board ...the reinforcement learning methods we examine later in this ...
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Reinforcement Learning:
... complete specification of that opponent, including the probabilities with which the opponent makes each move in each board ...the reinforcement learning methods we examine later in this ...
538
Reinforcement Learning:
... complete specification of that opponent, including the probabilities with which the opponent makes each move in each board ...the reinforcement learning methods we examine later in this ...
538
Reinforcement Learning:
... complete specification of that opponent, including the probabilities with which the opponent makes each move in each board ...the reinforcement learning methods we examine later in this ...
445
Reinforcement Learning:
... complete specification of that opponent, including the probabilities with which the opponent makes each move in each board ...the reinforcement learning methods we examine later in this ...
446
Reinforcement Learning:
... complete specification of that opponent, including the probabilities with which the opponent makes each move in each board ...the reinforcement learning methods we examine later in this ...
444
Reinforcement Learning:
... complete specification of that opponent, including the probabilities with which the opponent makes each move in each board ...the reinforcement learning methods we examine later in this ...
447
Crowd-Robot Interaction: Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
... {firstname.lastname}@epfl.ch Abstract— Mobility in an effective and socially-compliant manner is an essential yet challenging task for robots operating in crowded spaces. Recent works have shown the power of deep ...
8
Automatic Border Crossing Detection and Navigation of Boat
... Fig. 5: Complete Hardware setup of the Automatic Border Crossing Detection and Navigation of Boat V. C ONCLUSION In this project fishermen can easily identify the national sea borders and therefore ...
5
Reinforcement Learning
... Problem: Stochastic multistage decision problems with finite horizon Idea: Calculate the costs starting from the last stage to the first stage. Example: Find the cheapest path in a graph[r] ...
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Reinforcement Learning
... Problem: Stochastic multistage decision problems with finite horizon Idea: Calculate the costs starting from the last stage to the first stage. Example: Find the shortest path in a graph[r] ...
41