automl / SEARLLinks
Sample-Efficient Automated Deep Reinforcement Learning
☆34Updated 4 years ago
Alternatives and similar repositories for SEARL
Users that are interested in SEARL are comparing it to the libraries listed below
Sorting:
- ☆16Updated 3 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆128Updated 4 years ago
- ☆71Updated 2 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆105Updated 4 years ago
- Industrial Benchmark☆132Updated 2 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.☆72Updated 2 years ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learning☆30Updated 5 years ago
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆89Updated 2 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆103Updated 6 months ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- Revisiting Rainbow☆75Updated 4 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 5 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆151Updated 4 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆36Updated 4 years ago
- Reinforcement learning algorithms in RLlib☆59Updated last year
- Soft Actor-Critic with advanced features☆51Updated this week
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- Explorer is a PyTorch reinforcement learning framework for exploring new ideas.☆95Updated 3 months ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆38Updated 6 years ago
- research and implementations of Deep RL agents and their applications☆58Updated 2 weeks ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆26Updated 9 months ago
- A practical step-by-step guide to applying RUDDER☆35Updated 5 years ago
- Proximal policy optimization in PyTorch. Easy to read and understand.☆51Updated 4 years ago
- ☆87Updated last year
- An easy-to-use reinforcement learning library for research and education.☆171Updated last week
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago