Muti-branch-DDPG-CARLA
Reinforcement Learning algorithm
An implementation of a reinforcement learning algorithm using multi-branch architecture and Deep Deterministic Policy Gradients (DDPG) to control autonomous vehicles in simulation environments.
A tensorflow implemention of ECCV2018 Paper：CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving
81 stars
4 watching
21 forks
Language: Python
last commit: over 7 years agoLinked from 1 awesome list
amin-tgz/awesome-carlaRelated projects:
| Repository | Description | Stars |
|---|---|---|
 ankur-rc/autodrive_ddpg | Reinforcement learning-based autonomous driving system | 11 |
 ikostrikov/pytorch-ddpg-naf | An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks. | 307 |
 zhangfuyang/rl_carla | A reinforcement learning project to train an autonomous driving agent in a simulated environment using a deep learning approach | 230 |
 gokulnc/setting-up-carla-reinforcement-learning | Provides a framework for using CARLA as a reinforcement learning environment | 95 |
 onlytailei/carla_cil_pytorch | Implementation of a conditional imitation learning policy in PyTorch for autonomous driving using the Carla dataset. | 65 |
 koustavagoswami/autonomous-car-driving-using-deep-reinforcement-learning-in-carla-simulator | Enabling autonomous driving using deep reinforcement learning in a virtual environment | 14 |
 rajesh-siraskar/reinforcement-learning-for-control-of-valves | Develops and tests a reinforcement learning-based control system for non-linear valve models using Deep Deterministic Policy-Gradient algorithm | 80 |
 carla-simulator/reinforcement-learning | An implementation of an actor-critic reinforcement learning algorithm in Python. | 245 |
 sjtu-marl/malib | A framework for parallel population-based reinforcement learning | 507 |
 dusty-nv/jetson-reinforcement | Provides tools and libraries for training intelligent agents to perform complex tasks in robotics using deep reinforcement learning and GPU acceleration. | 891 |
 catohaste/pomdp | An implementation of a reinforcement learning algorithm based on a partially observable Markov decision process for a simple decision task | 54 |
 faizansana/intersection-carla-gym | An environment for training reinforcement learning algorithms in a realistic 4-way unsignalized intersection scenario | 7 |
 chingyaoc/pytorch-reinforce | A PyTorch implementation of the REINFORCE algorithm for reinforcement learning in continuous and discrete environments. | 266 |
 aravindr93/hand_dapg | Develops reinforcement learning-based control algorithms for complex robotic tasks like dexterous hand manipulation. | 234 |
 horizonrobotics/alf | A framework for implementing complex reinforcement learning algorithms with flexibility and ease of implementation | 306 |