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carla-ppo

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

carla-rl

Reinforcement Learning codebase for self-driving car in Carla

code_with_rl

Code With Deep Reinforcement Learning

curl

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

curl_rainbow

di-drive

OpenDILab Auto-driving platform

dmcontrol-generalization-benchmark

DMControl Generalization Benchmark

drift_drl

High-speed Autonomous Drifting with Deep Reinforcement Learning

drl-robot-navigation

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

fqf-iqn-qrdqn.pytorch

A PyTorch implementation of FQF, IQN and QR-DQN.

gail-airl-ppo.pytorch

A PyTorch implementation of GAIL and AIRL based on PPO.

gdae

A goal-driven autonomous exploration through deep reinforcement learning (ICRA 2022) system that combines reactive and planned robot navigation in unknown environments

grokking-deep-learning

this repository accompanies my forthcoming book "Grokking Deep Learning"

gym-carla

An OpenAI gym wrapper for CARLA simulator

highway-env

A minimalist environment for decision-making in autonomous driving

hybrid-deeprl-automated-driving

Integrating Deep Reinforcement Learning with Path planning for Automated Driving

icsl-reinforcement

inverserl-pytorch

Pytorch GAIL VAIL AIRL VAIRL EAIRL SQIL Implementation

lets-do-irl

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

mbrl-lib

Library for Model Based RL

metarl

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

monodepth2

[ICCV 2019] Monocular depth estimation from a single image

mrl

namjiwon1023

on-policy

This is the official implementation of Multi-Agent PPO (MAPPO).

phd-bibliography

References on Optimal Control, Reinforcement Learning and Motion Planning

plan2explore

Repository for the paper "Planning to Explore via Self-Supervised World Models"

playvirtual

popular-rl-algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..