automl / SEARL
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
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆15Updated 6 years ago
- ☆17Updated 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
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- Efficient Exploration through Bayesian Deep Q-Networks☆37Updated 7 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆34Updated 2 weeks ago
- on-policy optimization baselines for deep reinforcement learning☆29Updated 4 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 4 years ago
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆76Updated last year
- ☆32Updated 7 months ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 5 years ago
- PyTorch implementation of the Munchausen Reinforcement Learning Algorithms M-DQN and M-IQN☆45Updated 4 years ago
- QuaRL is an open-source framework for systematically studying the effect of applying quantization to reinforcement learning algorithms.☆67Updated 2 years ago
- ☆29Updated 2 years ago
- An unofficial implementation for online decision transformer☆40Updated 2 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 2 weeks ago
- Industrial Benchmark☆127Updated last year
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆86Updated 2 years ago
- implementation of Wasserstein Natural Policy Gradients and Wasserstein Natural Evolution Strategies☆11Updated 4 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 2 years ago
- Soft Actor-Critic with advanced features☆48Updated last week
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆124Updated 4 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆177Updated 2 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆24Updated 4 months ago
- Code for Shapley values for explaining reinforcement learning. XRL feature-influence method.☆20Updated last year
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 2 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆45Updated last year
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆30Updated 3 years ago
- Code repo for Gradient Temporal-Difference Learning with Regularized Corrections paper.☆38Updated 4 years ago
- ☆85Updated 7 months ago