Rongjian Liang (RongjianLiang)

RongjianLiang

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Company:National University of Singapore

Location:Singapore

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Rongjian Liang's starred repositories

Tutorial

LLM Tutorial

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InternLM

Official release of InternLM2.5 7B base and chat models. 1M context support

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DeepReinforcementLearningInAction

Code from the Deep Reinforcement Learning in Action book from Manning, Inc

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collective_MARL

collective_MARL

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Gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

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thudrone

这是清华大学无人机赛课的社区,欢迎访问~

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on-policy

This is the official implementation of Multi-Agent PPO (MAPPO).

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deep-marl-toolkit

MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...

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ChatPaper

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

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flightmare

An Open Flexible Quadrotor Simulator

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gym_art

Additional environments compatible with OpenAI gym

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particlePhysics

Elastic collision particle physics simulation written in Python

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manim

Animation engine for explanatory math videos

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quad-swarm-rl

Additional environments compatible with OpenAI gym

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ego-planner-swarm

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

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MAAC

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

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maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

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maddpg-pytorch

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

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pytorch-maddpg

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

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Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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warp-drive

Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)

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aircraft_trajectory_optimisation

A simulation project using techniques in reinforcement learning to generate optimal paths for unmanned aircraft.

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HARL

Official implementation of HARL algorithms based on PyTorch.

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nvitop

An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

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acme

A library of reinforcement learning components and agents

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