WYEAH

WYEAH's Stars

• JeffLi1993/springboot-learning-example

  spring boot 实践学习案例，是 spring boot 初学者及核心技术巩固的最佳实践。

  Language:Java16.4k7.1k

• jnez71/lqRRT

  Kinodynamic RRT implementation

  Language:Python10530

• dongkam5/rrt_star_variations

  RRT, RRT*, P-RRT*, F-RRT*, PF-RRT*

  Language:Jupyter Notebook143

• BY571/IQN-and-Extensions

  PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.

  Language:Jupyter Notebook8216

• alirezakazemipour/Distributional-RL

  Implementation of some of the Deep Distributional Reinforcement Learning Algorithms.

  Language:Python92

• chengliu-LR/art-iqn

  Risk-averse reinforcement learning algorithms for drone indoor navigation and obstacle avoidance.

  Language:Python81

• BY571/D4PG

  PyTorch implementation of D4PG with the SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.

  Language:Python184

• valeoai/rainbow-iqn-apex

  Distributed Rainbow-IQN for Atari

  Language:Python777

• michaelnny/deep_rl_zoo

  A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

  Language:Python10711

• ailabspace/drl-based-mapless-crowd-navigation-with-perceived-risk

  Deep Reinforcement Learning Based Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots

  Language:Python627

• bitzhangcy/Safe-Deep-Reinforcement-Learning

  408

• dadecampo/SafeRLAUV

  Safe Reinforcement Learning for Autonomous Underwater Vehicles

  Language:C#204

• ZhengYinan-AIR/FISOR

  [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"

  Language:Python794

• ThibautTheate/Risk-Sensitive-Policy-with-Distributional-Reinforcement-Learning

  Official implementation of the algorithmic approach presented in the research paper entitled "Risk-Sensitive Policy with Distributional Reinforcement Learning".

  Language:Python15

• tylerkastner/distribution-equivalence

  Code to reproduce the results in the NeurIPS 2023 paper Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning.

  Language:Python4

• rllab-snu/Safe-Distributional-Actor-Critic

  Official Github Repository for "Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints". (NeurIPS 2023)

  Language:Python164

• RobustFieldAutonomyLab/Multi_Robot_Distributional_RL_Navigation

  [ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning

  Language:Python577

• XinJingHao/OkayPlan

  OkayPlan: A real-time global path palnning algorithm for dynamic environments

  Language:Python378

• ThomasNLarsen/gym-auv

  Codebase - Comparing DRL algorithms' ability to safely navigate challenging waters

  Language:Python134

• imasmitja/RLforUTracking

  Deep Reinforcement Learning (RL) algorithms for underwater target tracking with Autonomous Underwater Vehicles (AUV)

  Language:Python9012

• halvorot/Deep-RL-Collision-Avoidance-TTK4550-Fordypningsoppgave

  Collision Avoidance simulator for USV using Deep RL. A result of TTK4550 Fordypningsoppgave at NTNU

  Language:Python151

• JackWafson/Robust-cooperative-control-of-multiple-USV

  多水面无人船的鲁棒协同控制

  Language:Python18

• tbasaklar/PDMORL-Preference-Driven-Multi-Objective-Reinforcement-Learning-Algorithm

  A novel preference-driven multi-objective reinforcement learning algorithm using a single policy network that covers the entire preference space in a given domain.

  Language:Python263

• GiovaniCenta/Pareto-Deep-Q-Networks

  Implementation of Pareto Deep Q Networks in a multi-objective Gym Reinforcement Learning Environment

  Language:Python121

• XinJingHao/okayplan_ros

  Real-time global path planning algorithm for dynamic environments

  Language:Python15

• RunzheYang/MORL

  Multi-Objective Reinforcement Learning

  Language:Python25850

• Farama-Foundation/MO-Gymnasium

  Multi-objective Gymnasium environments for reinforcement learning

  Language:Python29940

• LucasAlegre/morl-baselines

  Multi-Objective Reinforcement Learning algorithms implementations.

  Language:Python33353

• XueYifan1995/Real-time-NMPC-for-USVs-CasADi

  ICMRE-2021 coference paper codes

  Language:MATLAB5417

• Jingliang-Duan/DSAC-v1

  DSAC; Distributional Soft Actor-Critic

  Language:Python11431