ShangtongZhang / DistributedESLinks
Distributed implementation of popular evolutionary methods
☆64Updated 7 years ago
Alternatives and similar repositories for DistributedES
Users that are interested in DistributedES are comparing it to the libraries listed below
Sorting:
- ☆35Updated 6 years ago
- Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees☆93Updated 5 years ago
- Code accompanying the OptionGAN paper.☆44Updated 6 years ago
- Accompanying code for "Deep Reinforcement Learning that Matters"☆152Updated 7 years ago
- NIPS 2017 Value Prediction Network☆166Updated 7 years ago
- Deep Reinforcement Learning algorithms implemented in PyTorch☆49Updated 7 years ago
- Exploration Strategies for Deep Reinforcement Learning☆39Updated 6 years ago
- Stochastic Neural Networks for Hierarchical Reinforcement Learning☆96Updated 7 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆95Updated 6 years ago
- Meta Reinforcement Learning Experiments☆34Updated 7 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction☆79Updated 6 years ago
- Implement A3C for Mujoco gym envs☆72Updated 7 years ago
- RL framework for embodied agents based on PyTorch☆12Updated 6 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆28Updated 6 years ago
- Proximal Policy Optimization in PyTorch☆39Updated 7 years ago
- A Tensorflow implementation of Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning☆32Updated 7 years ago
- This is my implementation of the Optimality Tightening☆37Updated 8 years ago
- A platform of grid world that supports up to 1 million reinforcement-learning agents.☆69Updated 7 years ago
- Mind-aware Multi-agent Management Reinforcement Learning☆82Updated 6 years ago
- Full Chainer implementation of OpenAI's Reinforcement Learning using Random Network Distillation☆31Updated 6 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Rei…☆35Updated 6 years ago
- reimplementation of the ddpg algorithm using tensorflow☆38Updated 8 years ago
- Noisy Networks for Exploration☆186Updated 7 years ago
- Robust policy search algorithms which train on model ensembles☆28Updated 8 years ago
- Ape-X DQN & DDPG with pytorch & tensorboard☆102Updated 6 years ago
- Train an RL agent to play multiple Atari games at once☆69Updated 9 years ago
- Random Network Distillation(RND) algo in Pytorch☆49Updated 6 years ago
- Model-Based Generative Adversarial Imitation Learning☆89Updated 4 years ago