automl / mdp-playground
A python package to design and debug RL agents.
☆28Updated 3 months ago
Alternatives and similar repositories for mdp-playground:
Users that are interested in mdp-playground are comparing it to the libraries listed below
- Vectorization techniques for fast population-based training.☆56Updated 2 years ago
- ☆29Updated 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…☆78Updated last year
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆48Updated 10 months ago
- Mirror Descent Policy Optimization☆38Updated 4 years ago
- Code to accompany the paper "The Information Geometry of Unsupervised Reinforcement Learning"☆20Updated 3 years ago
- ☆31Updated 4 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 6 months ago
- Change-Based Exploration Transfer☆36Updated 3 years ago
- Experiment code for testing effect of various action space transformations in reinforcement learning☆30Updated 4 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- ☆30Updated last year
- ☆31Updated 2 years ago
- Invariant Causal Prediction for Block MDPs☆44Updated 4 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago
- Revisiting Rainbow☆74Updated 3 years ago
- Code for "Possibility Before Utility: Learning And Using Hierarchical Affordances" (ICLR 2022)☆14Updated 3 years ago
- A high-performance reinforcement learning library in jax specialized for robotic learning☆22Updated last year
- Modular Single-file Reinfocement Learning Algorithms Library☆37Updated last year
- Implementation of Diversity Is All You Need (DIAYN) on top of Stable Baselines 3.☆12Updated 2 years ago
- Sandbox environment for generalizable agent research☆25Updated 2 years ago
- HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficient☆22Updated last month
- Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"☆23Updated last year
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- [AutoML'22] Bayesian Generational Population-based Training (BG-PBT)☆28Updated 2 years ago
- Optim4RL is a Jax framework of learning to optimize for reinforcement learning.☆24Updated 5 months ago
- This repository contains all code and experiments for competitive policy gradient (CoPG) algorithm.☆24Updated 4 years ago