Stars
Author's PyTorch implementation of TD3 for OpenAI gym tasks
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
A simple and easy-to-use autonomous driving environment for reinforcement learning, based on the CARLA simulator.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
A novel brain-inspired deep imitation method with strong generalisation ability.
This repository contains the code of the algorithms and tools developed in Work Package 4 of Artificial Intelligence for Urban Low-Emission Autonomous Traffic (AIForLEssAuto) project
Implementation Model Predictive Control with CARLA simulator based on Python
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
path planning and speed planning are implemented in this project
Python codes for advanced control
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
Lightweight version of MAPPO to help you quickly migrate to your local environment.
RL Distributed Control Scheme for Cooperative Intersection Traffic Control
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.