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codes

The source code of CodeS (SIGMOD 2024).

database-datasets

datasets for database research

decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

dreamer-torch

Pytorch version of Dreamer, which follows the original TF v2 codes.

dreamer_pytorch

Unofficial Re-implementation of "Dream to Control: Learning Behaviors by Latent Imagination" (https://arxiv.org/abs/1912.01603 ) with PyTorch

maohangyu.github.io

marl_demo

demo of multi-agent reinforcement learning algorithms, such as ATT-MADDPG (Modelling the Dynamic Joint Policy of Teammates with Attention Multi-Agent DDPG) and NCC-MARL (Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning).

modelscope-agent

ModelScope-Agent: An agent framework connecting models in ModelScope with the world

mpc

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

mpc_template-model_predictive_control_for_reinforcement_learning

Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment

open-interpreter

OpenAI's Code Interpreter in your terminal, running locally

pdit

PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. AAMAS 2024 (full paper with oral presentation).

pet-sql

PET-SQL: A Prompt-enhanced Two-stage Text-to-SQL Framework with Cross-consistency

rl-baselines3-zoo

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

tit_open_source

The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"