popovicidaniela / Master-ThesisLinks
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
☆37Updated 7 years ago
Alternatives and similar repositories for Master-Thesis
Users that are interested in Master-Thesis are comparing it to the libraries listed below
Sorting:
- BMVC 2017: Virtual to Real Reinforcement Learning for Autonomous Driving☆47Updated 6 years ago
- Reinforcement learning with docker and torcs☆20Updated 7 years ago
- A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env☆71Updated 7 years ago
- The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of…☆145Updated 6 years ago
- Jointly learning policies and latent representations for driver behavior.☆15Updated 8 years ago
- Implementation of reinforcement learning approach to make a car learn to drive☆111Updated 2 years ago
- Environments and Wrappers for CARLA, designed for ease of use with RL Tasks.☆22Updated 4 years ago
- Code for the ICRA2018 paper "Learning with training wheels: Speeding up training with a simple controller for Deep Reinforcement Learning…☆37Updated 6 years ago
- Autonomous Navigation using Deep Reinforcement Learning☆23Updated 8 years ago
- Notes and comments about Deep Reinforcement Learning papers☆77Updated 7 years ago
- Carla Imitation Learning Trainer☆49Updated 7 years ago
- Candy: Self-driving Agent in Carla.☆22Updated 6 years ago
- Multimodal Deep Q-Network (MDQN) for modelling human-like social intelligence.☆14Updated 8 years ago
- Project on design and implement neural network that maximises driving speed of self-driving car through reinforcement learning.☆151Updated 5 years ago
- Reinforcement Learning Environment for CARLA Autonomous Driving Simulator☆102Updated 5 years ago
- ☆114Updated 7 years ago
- ☆105Updated 7 years ago
- NGSIM Driving RL/Imitation learning environment compatible with rllab☆12Updated 7 years ago
- ☆80Updated 5 years ago
- Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinf…☆176Updated 3 years ago
- Supporting material for "Deep Stochastic Radar Models," submitted to IV 2017☆17Updated 6 years ago
- A curated list of papers of deep learning in autonomous driving papers☆96Updated 8 years ago
- FLUIDS is a lightweight driving simulator for benchmarking Deep Reinforcement and Imitation learning algorithms.☆24Updated 6 years ago
- autonomous_driving repo, esp. for car trajectory prediction☆9Updated 7 years ago
- Using Pilco algorithm to find a controller for few robotic problems☆43Updated 10 years ago
- A modified version of TORCS for deep reinforcement learning.☆118Updated 7 years ago
- ☆36Updated 8 years ago
- Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator☆307Updated 5 years ago
- A PyTorch-based deep inverse reinforcement learning pipeline for vehicle motion forecasting☆83Updated 6 years ago
- An environment for an obstacle avoidance task☆35Updated 3 years ago