All Projects → akashdeepjassal → VREP-RL-bot

akashdeepjassal / VREP-RL-bot

Licence: other
Reinforcement Learning in Vrep

Programming Languages

python
139335 projects - #7 most used programming language
OpenEdge ABL
179 projects

Projects that are alternatives of or similar to VREP-RL-bot

king-pong
Deep Reinforcement Learning Pong Agent, King Pong, he's the best
Stars: ✭ 23 (+64.29%)
Mutual labels:  q-learning, reinforcement-learning-algorithms
RL
Reinforcement Learning Demos
Stars: ✭ 66 (+371.43%)
Mutual labels:  q-learning, vrep
onn
Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)
Stars: ✭ 139 (+892.86%)
Mutual labels:  reinforcement-learning-algorithms
java-reinforcement-learning
Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic
Stars: ✭ 90 (+542.86%)
Mutual labels:  q-learning
mentalRL
Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".
Stars: ✭ 22 (+57.14%)
Mutual labels:  q-learning
Flow-Shop-Scheduling-Based-On-Reinforcement-Learning-Algorithm
Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm
Stars: ✭ 73 (+421.43%)
Mutual labels:  q-learning
Master-Thesis
Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex
Stars: ✭ 33 (+135.71%)
Mutual labels:  reinforcement-learning-algorithms
UAV-DDPG
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Stars: ✭ 133 (+850%)
Mutual labels:  reinforcement-learning-algorithms
ml-ai
ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions
Stars: ✭ 32 (+128.57%)
Mutual labels:  reinforcement-learning-algorithms
deeprl-continuous-control
Learning Continuous Control in Deep Reinforcement Learning
Stars: ✭ 14 (+0%)
Mutual labels:  reinforcement-learning-algorithms
l2rpn-baselines
L2RPN Baselines a repository to host baselines for l2rpn competitions.
Stars: ✭ 57 (+307.14%)
Mutual labels:  reinforcement-learning-algorithms
Implicit-Q-Learning
PyTorch implementation of the implicit Q-learning algorithm (IQL)
Stars: ✭ 27 (+92.86%)
Mutual labels:  q-learning
LearnSnake
🐍 AI that learns to play Snake using Q-Learning (Reinforcement Learning)
Stars: ✭ 69 (+392.86%)
Mutual labels:  q-learning
Warehouse Robot Path Planning
A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️
Stars: ✭ 59 (+321.43%)
Mutual labels:  q-learning
Fruit-API
A Universal Deep Reinforcement Learning Framework
Stars: ✭ 61 (+335.71%)
Mutual labels:  reinforcement-learning-algorithms
bandits
Comparison of bandit algorithms from the Reinforcement Learning bible.
Stars: ✭ 16 (+14.29%)
Mutual labels:  reinforcement-learning-algorithms
pacman-ai
A.I. plays the original 1980 Pacman using Neuroevolution of Augmenting Topologies and Deep Q Learning
Stars: ✭ 26 (+85.71%)
Mutual labels:  q-learning
DRL in CV
A course on Deep Reinforcement Learning in Computer Vision. Visit Website:
Stars: ✭ 59 (+321.43%)
Mutual labels:  q-learning
tictactoe-reinforcement-learning
Train a tic-tac-toe agent using reinforcement learning.
Stars: ✭ 36 (+157.14%)
Mutual labels:  q-learning
pytorch-rl
Pytorch Implementation of RL algorithms
Stars: ✭ 15 (+7.14%)
Mutual labels:  reinforcement-learning-algorithms

VREP-RL

Reinforcement Learning in Vrep

RL-Car

This project implements OpenAI's gym like interface for V-Rep to train reinforcementt learning agents.

Following two experiments were modeled on the aforementioned environment using Deep Q-Networks (DQN) in Keras,

  1. Line follower using infrared (IR) sensors.

  1. Obstacle avoidance using proximity sensors.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].