Khev / RL-practice-kerasLinks
☆15Updated 5 years ago
Alternatives and similar repositories for RL-practice-keras
Users that are interested in RL-practice-keras are comparing it to the libraries listed below
Sorting:
- TF2 Implementation of the Soft Actor-Critic Algorithm☆44Updated 2 years ago
- PyTorch implementation of CommNet☆36Updated 7 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆49Updated 4 years ago
- ☆76Updated last year
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆61Updated 4 years ago
- research and implementations of Deep RL agents and their applications☆51Updated this week
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆125Updated 5 years ago
- PyTorch Implementation of Ape-X (Distributed prioritized experience replay) architecture with DQN learner☆27Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- FEN Code☆37Updated 5 years ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆85Updated 6 years ago
- ☆92Updated 4 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated 9 months ago
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 7 months ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 4 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- My implementation of the Proximal Policy Optisation algorithm using Keras as a backend☆88Updated 5 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- ☆72Updated 2 years ago
- PyTorch implementation of Proximal Policy Optimization☆51Updated 7 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 5 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- ☆26Updated 7 years ago
- PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)☆33Updated 2 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago