xkiwilabs / DDPG-using-PyTorch-and-ML-AgentsLinks
A simple example of how to implement vector based DDPG using PyTorch and a ML-Agents environment.
☆18Updated 6 years ago
Alternatives and similar repositories for DDPG-using-PyTorch-and-ML-Agents
Users that are interested in DDPG-using-PyTorch-and-ML-Agents are comparing it to the libraries listed below
Sorting:
- A simple example of how to implement vector based DQN using PyTorch and a ML-Agents environment☆93Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 4 years ago
- This project explores deep reinforcement learning, hybrid actor-critic approach with A3C/PPO combined with curiosity for playing Super M…☆79Updated 6 years ago
- QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.☆72Updated 2 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated 5 months ago
- Deep Q Learning via Pytorch☆86Updated 7 years ago
- PyTorch implementation of Proximal Policy Optimization☆53Updated 7 years ago
- Pytorch implementation of Soft Actor-Critic☆20Updated 5 years ago
- Clone of OpenAI's Spinning Up in PyTorch☆152Updated 3 years ago
- PyTorch implementation of Advantage Actor-Critic (A2C)☆46Updated 7 years ago
- Awesome RL: Papers, Books, Codes, Benchmarks☆116Updated last year
- A simple Gridworld environment for Open AI gym☆25Updated 7 years ago
- PyTorch RL for Pommerman☆38Updated 6 years ago
- A curated list of reinforcement learning environments and frameworks.☆51Updated 6 years ago
- Gridworld environments for OpenAI gym.☆79Updated last year
- A curated list of multiagent learning and related area resources.☆77Updated 6 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- PyTorch implementation of our paper Real-Time Reinforcement Learning (NeurIPS 2019)☆74Updated 5 years ago
- Starter Kit for NeurIPS 2020 - Procgen Competition on AIcrowd☆91Updated 2 years ago
- advantage actor-critic reinforcement learning for openai gym cartpole☆65Updated 8 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆140Updated 2 years ago
- ☆91Updated 4 years ago
- General implementation of Advantage Actor Critic using Pytorch☆28Updated 3 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- ☆75Updated last year
- Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space☆46Updated 7 years ago
- ☆71Updated 2 years ago
- Reinforcement learning algorithms in RLlib☆59Updated last year
- A Multi-agent Learning Framework☆62Updated 4 years ago