xkiwilabs / DQN-using-PyTorch-and-ML-AgentsLinks
A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment
☆93Updated 6 years ago
Alternatives and similar repositories for DQN-using-PyTorch-and-ML-Agents
Users that are interested in DQN-using-PyTorch-and-ML-Agents are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆74Updated 5 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 2 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆139Updated 2 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆143Updated 6 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆218Updated 2 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆84Updated 4 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆301Updated last year
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- A curated list of reinforcement learning environments and frameworks.☆51Updated 6 years ago
- Lightweight multi-agent gridworld Gym environment☆209Updated last year
- Playing Mountain-Car without reward engineering, by combining DQN and Random Network Distillation (RND)☆41Updated 6 years ago
- Adaptive Attention Span for Reinforcement Learning☆133Updated 5 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆116Updated 2 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆225Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆319Updated 3 years ago
- Gridworld for MARL experiments☆141Updated 4 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆317Updated 2 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆50Updated 4 years ago
- Random Network Distillation pytorch☆251Updated 6 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆150Updated 4 years ago
- Gridworld environments for OpenAI gym.☆80Updated last year
- PyTorch implementation of FQF, IQN and QR-DQN.☆182Updated last year
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆51Updated 2 months ago
- Experiments with reinforcement learning and recurrent neural networks☆114Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆53Updated 6 years ago