OceanHWang's Stars
zbzhu99/madiff
Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"
brevdev/notebooks
Collection of notebook guides created by the Brev.dev team!
google-research/rlds
Farama-Foundation/D4RL
A collection of reference environments for offline reinforcement learning
sail-sg/edp
[NeurIPS 2023] Efficient Diffusion Policy
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
YunjiaXi/Implementation-and-Some-Modification-about-DQN-and-SAC
In this project, I explore some typical value-based and policy-based RL algorithms. I do experiments on DQN and its six variants and their combination in Atari environments Pong and Boxing. I also do some experiments on SAC with DDPG as baseline on three MuJoCo environments Hopper-v2, Ant-v2, and HalfCheetah-v2.
romkatv/powerlevel10k
A Zsh theme
BellmanTimeHut/DIPO
apexrl/Diff4RLSurvey
This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"
anuragajay/decision-diffuser
opendilab/awesome-diffusion-model-in-rl
A curated list of Diffusion Model in RL resources (continually updated)
real-stanford/universal_manipulation_interface
Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots
opendilab/DI-engine
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
real-stanford/diffusion_policy
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
cilvrRG/RL
Reading Group on Reinforcement Learning topics
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
zhongdy15/npm
Cranial-XIX/marl-copa
PyTorch Implementation of COPA for coordinating teams that can dynamically change.
rafaelcp/smbdataset
Super Mario Bros. (NES) gameplay dataset for machine learning.
szmyty/OpenAI-Retro-SuperMarioWorld-SNES
This project contains my implementation of the NEAT-Python algorithm to use a recurrent neural network that enables an AI-controlled Mario to train itself to complete levels in "Super Mario World" on SNES. I used the gym-retro-integration program to create my own variables from the game's RAM values and then used those variables to reward/penalize the AI. If the AI complete's a level, the neural network is saved as the winner.
PWhiddy/PokemonRedExperiments
Playing Pokemon Red with Reinforcement Learning
ClarityCoders/MarioPPO
nicknochnack/OpenAI-Reinforcement-Learning-with-Custom-Environment
This code accompanies the YouTube tutorial where we build a custom OpenAI environment for reinforcement learning.
Farama-Foundation/PettingZoo
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
openai/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
nicknochnack/KerasRL-OpenAI-Atari-SpaceInvadersv0
A notebook walking through how to use Keras RL to solve Atari environments.
nicknochnack/ReinforcementLearningCourse
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
saizhang0218/VBC
pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"