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Cross-level's Projects

elegantrl icon elegantrl

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch. 🔥

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

gym-maze icon gym-maze

A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.

gymtorcs icon gymtorcs

A Gym wrapper for the Torcs Racing car simulator

iclr2022-openreviewdata icon iclr2022-openreviewdata

ICLR 2022 Paper submission trend analysis from https://openreview.net/group?id=ICLR.cc/2022/Conference

jupyterlab-lsp icon jupyterlab-lsp

Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

kashgari icon kashgari

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

light_mappo icon light_mappo

Lightweight version of MAPPO to help you quickly migrate to your local environment.

machin icon machin

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

maddpg icon maddpg

Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".

madrl icon madrl

Repo containing code for multi-agent deep reinforcement learning (MADRL).

magent icon magent

A Platform for Many-agent Reinforcement Learning

maze_solver icon maze_solver

This project solves self-made maze in a variety of ways: A-star, Q-learning and Deep Q-network.

ml_practice icon ml_practice

ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html

multi-agentdrl icon multi-agentdrl

solve pursuit-evasion problem with multi-agent deep reinforcement learning

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