BackpropTools / BackpropToolsLinks
A Fast, Portable Deep Reinforcement Learning Library for Continuous Control
☆14Updated last year
Alternatives and similar repositories for BackpropTools
Users that are interested in BackpropTools are comparing it to the libraries listed below
Sorting:
- A high-performance reinforcement learning library in jax specialized for robotic learning☆22Updated last year
- On-the-fly conversions between Jax and NumPy tensors☆52Updated 2 years ago
- Modular Single-file Reinfocement Learning Algorithms Library☆37Updated 2 years ago
- A Gym env for propulsive rocket landing.☆19Updated 3 years ago
- Fast QP Solver in JAX☆14Updated 9 months ago
- A modular implementation of PPO, and soon hopefully other algorithms.☆26Updated last year
- ☆36Updated 2 years ago
- My PhD thesis. I defended on the 30th of October, 2020! See https://github.com/eleurent/phd-defense/☆14Updated 3 years ago
- Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to e…☆80Updated last year
- [deprecated] Engine Agnostic Gym Environment for Robotics☆16Updated 3 years ago
- pycvxset is a Python package for manipulation and visualization of convex sets.☆31Updated 3 months ago
- Deep Reinforcement Learning Framework done with PyTorch☆36Updated 3 months ago
- Model-based reinforcement learning in TensorFlow☆56Updated 3 years ago
- Tutorials on how to use EAGERx☆16Updated 8 months ago
- A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.☆83Updated this week
- 🧭🔍 A PDDL Planner in Python partially wrapping PDDL.jl using JuliaPy☆32Updated 2 weeks ago
- Rex is a JAX-powered framework for sim-to-real robotics.☆39Updated 2 weeks ago
- a modular reinforcement learning library with JAX agents☆26Updated 3 months ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated 10 months ago
- A PyTorch library for all things nonlinear control and reinforcement learning.☆46Updated 3 years ago
- Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.☆66Updated last year
- ☆28Updated 2 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated last year
- A simulator for optionally networked swarm control up to 1000s of agents.☆12Updated 3 years ago
- ☆47Updated 2 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- ☆43Updated 4 years ago
- Bayesian active RL (BARL) and trajectory information planning (TIP)☆25Updated 2 years ago
- A project that provides help for using DeepMind's mctx on gym-style environments.☆60Updated 7 months ago
- ☆13Updated 2 years ago