zhouzhiqian Goto Github PK

aln-dsac

The code is for paper "Representation Learning and Reinforcement Learning for Dynamic Complex Motion Planning System".

apollo

An open autonomous driving platform

arena-rosnav

autonomous-driving-rl-gnn

autorally

Software for the AutoRally platform

avo2

Reciprocal Collision Avoidance with Acceleration-Velocity Obstacles (C++)

awesome-interaction-aware-trajectory-prediction

A selection of state-of-the-art research materials on trajectory prediction

awr

Implementation of advantage-weighted regression.

bullet-safety-gym

An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.

cadrl

Implementation of paper "Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning". NO LONGER MAINTAINED. CHECK OUT CrowdNav.

cagrad

Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)

chatpaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文总结+润色+审稿+审稿回复

cloud-tease-cat

code

constrained-decision-making-paper-list

Paper list for constrained policy optimization in reinforcement learning.

constrainedmbpo

Constrained Version of Model-Based Policy Optimization (e.g. CPO as model-free optimizer)

cpo-pytorch

An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch

crowdnav

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

crowdnav_dsrnn

[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

cup-safe-rl

depo

Code for ICML 2022 paper "Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization"

dgn

DGN Code

distributional-soft-actor-critic

distributional-soft-actor-critic-2.0

drl-code-pytorch

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

dwa-rl

Novel reinforcement learning based local planner that accounts for the dynamic constraints of the robot to enable smooth robot trajectories. Reward shaping is done to enable a spatially aware navigation.

dynamic_task_allocation

A simulation system based on ROS and Gazebo which is specially built for multi-robot task allocation (exploration and destruction problem)

elegantrl

Lightweight and scalable deep reinforcement learning using PyTorch. 🔥

elmo_ethercat_sdk

emo-rl-uav

The Python implementation of the proposed framework in the paper Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous UAV Navigation in Large-Scale Complex Environments