monoelh / deep-reinforcement-learning_DDQN_PPO_HERLinks
MLP-framework (pure numpy) and DDQN-framework for OpenAI's Gym games. +test code for PPO added. +Hindsight Experience Replay(HER) bitflip-DQN example. +prioritized replay.
☆20Updated 7 years ago
Alternatives and similar repositories for deep-reinforcement-learning_DDQN_PPO_HER
Users that are interested in deep-reinforcement-learning_DDQN_PPO_HER are comparing it to the libraries listed below
Sorting:
- Unofficial Implementation of GAN Q Learning https://arxiv.org/abs/1805.04874☆47Updated 4 years ago
- Highly Modular and Scalable Reinforcement Learning☆117Updated 5 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 4 years ago
- PyTorch implementation of Advantage Actor-Critic (A2C)☆46Updated 7 years ago
- A collection of multi-agent reinforcement learning OpenAI gym environments☆45Updated 5 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Simple grid-world environment compatible with OpenAI-gym☆50Updated 5 years ago
- A simple Gridworld environment for Open AI gym☆25Updated 7 years ago
- Simple tools for statistical analyses in RL experiments☆67Updated 7 years ago
- Implementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinf…☆176Updated 3 years ago
- PyTorch implementation of Proximal Policy Optimization☆53Updated 7 years ago
- A3C-LSTM algorithm tested on CartPole OpenAI Gym environment☆49Updated 7 years ago
- Meta Reinforcement Learning Experiments☆34Updated 8 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Deep Deterministic Policy Gradient implemented in PyTorch for DeepMind Control Suite☆25Updated 6 years ago
- Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regre…☆132Updated 6 years ago
- Yet another prioritized experience replay buffer implementation.☆48Updated 2 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆104Updated 4 years ago
- Distributed implementation of popular evolutionary methods☆64Updated 7 years ago
- High-quality implementations of deep reinforcement learning algorithms for experiments☆51Updated last year
- Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…☆35Updated 7 years ago
- Modifiable OpenAI Gym environments for studying generalization in RL☆87Updated 6 years ago
- PyTorch implementation of CommNet☆36Updated 7 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆95Updated 7 years ago
- Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow☆103Updated 5 years ago
- Machine Learning Course Project Skoltech 2018☆108Updated 6 years ago