voiler / PopulationBasedTrainingLinks
A simple PyTorch implementation of Population Based Training of Neural Networks.
☆63Updated 6 years ago
Alternatives and similar repositories for PopulationBasedTraining
Users that are interested in PopulationBasedTraining are comparing it to the libraries listed below
Sorting:
- Combining Evolutionary Algorithms and deep RL in various ways☆103Updated 4 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆96Updated 4 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆95Updated last month
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆127Updated 4 years ago
- ☆86Updated last year
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning / ICLR 2020☆54Updated 5 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆36Updated 4 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆88Updated 4 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 4 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.☆27Updated 4 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 5 years ago
- PyTorch implementation of Advantage Actor-Critic (A2C)☆45Updated 7 years ago
- Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)☆35Updated 4 years ago
- Implicit Normalizing Flows + Reinforcement Learning☆61Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"☆46Updated last year
- Random Network Distillation(RND) algo in Pytorch☆50Updated 6 years ago
- ☆111Updated 5 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆54Updated 4 months ago
- AGAC: Adversarially Guided Actor-Critic☆48Updated 3 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Code to reproduce the NeurIPS 2019 paper "Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottlen…☆50Updated 5 years ago
- Pytorch implementation of DreamerV2: MASTERING ATARI WITH DISCRETE WORLD MODELS☆50Updated 3 years ago
- ☆132Updated last year
- ☆31Updated 4 years ago