denniswangcw Goto Github PK

a3c

Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.

a3c-1

Advantage async actor-critic Algorithms (A3C) and Progressive Neural Network implemented by tensorflow.

a3c-lstm-with-tensorflow

An implementation of the A3C deep reinforcement learning method using a LSTM layer. Created with Tensorflow.

a3c_continuous

A continuous action space version of A3C LSTM in pytorch plus A3G design

a3c_torcs

a3c for torcs game

abc

ABC: System for Sequential Logic Synthesis and Formal Verification

abc_py

Simple Python interface for ABC

acer

Actor-critic with experience replay

agile_autonomy

Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"

agilicious

Agile flight done right!

airlearning

Public repository for Air Learning project

airsim-neurips2019-drone-racing

Drone Racing @ NeurIPS 2019, built on Microsoft AirSim

async_deep_reinforce

Asynchronous Methods for Deep Reinforcement Learning

awesome-3d-gaussian-splatting

Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.

awesome-ai-agents

A list of AI autonomous agents

awesome-openusd

A curated list of awesome Universal Scene Description (OpenUSD) resources and projects

basic_reinforcement_learning

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

betaflight

Open Source Flight Controller Firmware

codes-for-rl-per

A novel DDPG method with prioritized experience replay (IEEE SMC 2017)

colosseum

Open source simulator for autonomous robotics built on Unreal Engine with support for Unity

compile

CompILE: Compositional Imitation Learning and Execution (ICML 2019)

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

dads

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

ddpg

Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym

drills

DRiLLS: Deep Reinforcement Learning for Logic Synthesis Optimization

ego-planner-swarm

An efficient single/multi-agent trajectory planner for multicopters.

evo-populationbasedtraining

Population-Based Training (PBT) for Reinforcement Learning using Message Passing Interface (MPI)

flowtune

ga3c

Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.

gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"