jwcy0529

jwcy0529

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ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

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Actor-Sharer-Learner

Actor-Sharer-Learner training framework for off-policy DRL algorithms

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DRL-Pytorch

Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

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multi-agent-emergence-environments

Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"

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rheoTool

Toolbox to simulate GNF and viscoelastic fluid flows in OpenFOAM®

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ppo-ewma

Code for the paper "Batch size invariance for policy optimization"

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Deep_Object_Pose

Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)

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DiffRL

[ICLR 2022] Accelerated Policy Learning with Parallel Differentiable Simulation

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pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

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Inverse-Reinforcement-Learning

Implementations of selected inverse reinforcement learning algorithms.

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awesome-cs-course

awesome university cs core courses

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anything-llm

The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.

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gpt-researcher

GPT based autonomous agent that does online comprehensive research on any given topic

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maddpg-pytorch

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

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xuance

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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irl-imitation

Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

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maddpg-pytorch

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

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dafoam

DAFoam: Discrete Adjoint with OpenFOAM for High-fidelity Multidisciplinary Design Optimization

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lethe

Repository for the open-source lethe CFD/DEM/CFD-DEM project

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MA-AIRL

Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.

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MA-AIRL

Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.

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DRL

Deep Reinforcement Learning

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Square2DFlowControlDRL-PM-NARX-SB3

An open-source code release for the paper of "Active Flow Control for Bluff Body Drag Reduction Using Reinforcement Learning with Partial Measurements"

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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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episodic-transformer-memory-ppo

Clean baseline implementation of PPO using an episodic TransformerXL memory

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rvmd

Reduced-order Variational Mode Decomposition (RVMD)

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pymarl

Python Multi-Agent Reinforcement Learning framework

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universalMARL

This project mainly focus on how to transfer agents' knowledge in order to improve the flexibility of the MARL model and the training efficiency.

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DRL-GNN-PPO

PPO implementation of the DRL agent used in the paper "Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case"

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