voiler / PopulationBasedTraining
A simple PyTorch implementation of Population Based Training of Neural Networks.
☆60Updated 5 years ago
Alternatives and similar repositories for PopulationBasedTraining:
Users that are interested in PopulationBasedTraining are comparing it to the libraries listed below
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆34Updated 3 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 2 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- Random Network Distillation(RND) algo in Pytorch☆48Updated 5 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆53Updated 4 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆100Updated 4 years ago
- ☆81Updated 3 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 5 years ago
- ☆60Updated 6 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 5 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆103Updated last year
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆30Updated 3 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- Pytorch implementation of Soft Actor-Critic☆18Updated 4 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆37Updated 5 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆135Updated 6 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.☆56Updated 6 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆90Updated 5 months ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆93Updated 6 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆48Updated 4 years ago
- Exploration by Random Network Distillation☆15Updated 6 years ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 7 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- [ICLR 2020, Oral] Harnessing Structures for Value-Based Planning and Reinforcement Learning☆33Updated 5 years ago