Alternatives and similar repositories for sb3-burn:

Users that are interested in sb3-burn are comparing it to the libraries listed below

• entity-neural-network / entity-gym
  Standard interface for entity based reinforcement learning environments.
  ☆36Updated 10 months ago
• MathisWellmann / gym-rs
  OpenAI's Gym written in pure Rust for blazingly fast performance
  ☆82Updated 3 months ago
• entity-neural-network / enn-trainer
  Reinforcement learning training framework for entity-gym environments.
  ☆17Updated 10 months ago
• google / deluca
  Performant, differentiable reinforcement learning
  ☆121Updated 7 months ago
• perrin-isir / xpag
  a modular reinforcement learning library with JAX agents
  ☆22Updated last year
• henry-prior / jax-rl
  JAX implementations of core Deep RL algorithms
  ☆79Updated 2 years ago
• nikihowe / myriad
  Myriad is a real-world testbed that aims to bridge trajectory optimization and deep learning.
  ☆65Updated last year
• MyNameIsArko / RL-Flax
  Various reinforcement learning algorithms written in Jax + Flax
  ☆23Updated last year
• RobertTLange / gymnax-blines
  Baselines for gymnax 🤖
  ☆61Updated last year
• Reytuag / transformerXL_PPO_JAX
  ☆71Updated 2 months ago
• entity-neural-network / ragged-buffer
  Efficient numpy-like ragged array datatype for Python.
  ☆19Updated last year
• laboroai / border
  A reinforcement learning library in Rust
  ☆44Updated 2 weeks ago
• DramaCow / jaxued
  ☆66Updated 4 months ago
• ethanluoyc / magi
  Reinforcement learning library in JAX.
  ☆102Updated last year
• sash-a / CleanRL.jl
  Simple single file implementations of Reinforcement Learning algorithms in Julia
  ☆20Updated last year
• cksac / rai
  RAI: Rust ML framework with composable transformations like JAX.
  ☆82Updated 6 months ago
• hr0nix / omega
  A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environm…
  ☆39Updated 2 years ago
• sisl / BetaZero.jl
  Belief-state planning for POMDPs using learned approximations
  ☆21Updated 7 months ago
• DiffEqML / torchcontrol
  A PyTorch library for all things nonlinear control and reinforcement learning.
  ☆43Updated 3 years ago
• ivy-llc / gym
  Fully differentiable RL environments, written in Ivy.
  ☆64Updated last year
• IlyaOrson / Control-NeuralODE
  Neural ODEs as Feedback Policies for Nonlinear Optimal Control (IFAC 2023) https://doi.org/10.1016/j.ifacol.2023.10.1248
  ☆15Updated last year
• bmazoure / ppo_jax
  Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…
  ☆53Updated 2 years ago
• facebookresearch / svg
  On the model-based stochastic value gradient for continuous reinforcement learning
  ☆55Updated last year
• Bellman-devs / bellman
  Model-based reinforcement learning in TensorFlow
  ☆55Updated 3 years ago
• FLAIROx / jaxirl
  Contains JAX implementation of algorithms for inverse reinforcement learning
  ☆67Updated 5 months ago
• MIT-Lu-Lab / MPAX
  ☆48Updated last month
• joeybose / FloRL
  Implicit Normalizing Flows + Reinforcement Learning
  ☆60Updated 5 years ago
• brentyi / jax_dataclasses
  Pytrees + dataclasses ❤️
  ☆63Updated 6 months ago
• hr0nix / dejax
  Accelerated replay buffers in JAX
  ☆41Updated 2 years ago
• toshikwa / rljax
  A collection of RL algorithms written in JAX.
  ☆95Updated 2 years ago