Quantum-Cheese / reinforcement_learning_projects
Using (deep) reinforcement_learning algorithm to practice on OpenAI Gym, Unity ML-Agents,and other virtual environments. Using Python ,Pytorch/Tensorflow.
☆16Updated 4 years ago
Alternatives and similar repositories for reinforcement_learning_projects:
Users that are interested in reinforcement_learning_projects are comparing it to the libraries listed below
- A simple example of how to implement vector based DDPG for MARL tasks using PyTorch and a ML-Agents environment.☆37Updated 6 years ago
- PyTorch implementation of Deep Reinforcement Algorithm☆30Updated 2 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆56Updated 2 years ago
- ☆47Updated 5 years ago
- Implement many Sparse Reward algorithms in Gym Fetch environment☆86Updated 4 years ago
- Solve BipedalWalkerHardcore-v2 with TD3☆88Updated last year
- Implementation of DyMA-CL, MARL algorithm☆27Updated 5 years ago
- Training Agents in a cooperative multi-agent deep reinforcement learning setting to transport objects across a space☆15Updated 3 years ago
- Reinforcement Leanring Algorithms Trained with Unity☆14Updated 5 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- Implementations of MAPPO and IPPO on SMAC, the multi-agent StarCraft environment.☆65Updated 3 years ago
- An implementation of Deep Q-Learning from Demonstrations (DQfD) for playing Atari 2600 video games☆28Updated 2 years ago
- ☆28Updated 6 years ago
- DSAC; Distributional Soft Actor-Critic☆125Updated 2 months ago
- Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)☆61Updated last year
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 4 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆27Updated 2 years ago
- This repository contains an attempt at using Graph Attention based Reinforcement Learning for graphical state space. The code also provid…☆10Updated 3 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 5 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆21Updated 4 years ago
- This is the official implementation of ERL-Re2.☆64Updated 10 months ago
- Nash Q Learning☆31Updated 4 years ago
- RLlib超参数详解(中文)☆17Updated 3 years ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆54Updated last year
- Implement Google Deep Minds DQN for multiple agents for a grid world environment where vehicles must pick up customers.☆28Updated 7 years ago
- Collection of OpenAI parametrized action-space environments.☆64Updated last month
- Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow☆27Updated 5 years ago
- The official implementation of "Transformer in Transformer as Backbone for Deep Reinforcement Learning"☆55Updated last year
- Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".☆20Updated 2 years ago
- My internship project in 𝖢𝖠𝖲𝖨𝖠. 🤗☆3Updated 6 years ago