riiswa / kanrl
Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments
☆271Updated 6 months ago
Alternatives and similar repositories for kanrl:
Users that are interested in kanrl are comparing it to the libraries listed below
- Multi-objective Gymnasium environments for reinforcement learning☆300Updated last month
- Lecture slides for the MARL book (www.marl-book.com)☆69Updated last month
- Deep reinforcement learning without experience replay, target networks, or batch updates.☆206Updated this week
- Multi-Objective Reinforcement Learning algorithms implementations.☆335Updated last month
- A collection of MARL benchmarks based on TorchRL☆325Updated this week
- Multi-Agent Reinforcement Learning with JAX☆482Updated last week
- VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of …☆366Updated 3 weeks ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆162Updated 6 months ago
- Official code repo for the MARL book (www.marl-book.com)☆425Updated last month
- Really Fast End-to-End Jax RL Implementations☆797Updated 4 months ago
- Partially Observable Process Gym☆170Updated 6 months ago
- A Torch Based RL Framework for Rapid Prototyping of Research Papers☆64Updated last week
- Distributed Reinforcement Learning accelerated by Lightning Fabric☆334Updated this week
- Datasets with baselines for offline multi-agent reinforcement learning.☆157Updated 2 months ago
- Related papers for reinforcement learning, including classic papers and latest papers in top conferences☆339Updated 2 months ago
- An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments☆254Updated 2 months ago
- ☆209Updated last month
- 🤖 Elegant implementations of offline safe RL algorithms in PyTorch☆185Updated 4 months ago
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms☆376Updated this week
- Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in Open…☆256Updated 2 years ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆546Updated 3 months ago
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆263Updated last week
- Level-based Foraging (LBF): A multi-agent environment for RL☆169Updated 4 months ago
- RL Environments in JAX 🌍☆680Updated 6 months ago
- This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Re…☆497Updated last month
- Deep Reinforcement Learning Hands-On, 3E_Published by Packt☆111Updated 2 months ago
- Accelerated minigrid environments with JAX☆127Updated 5 months ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆211Updated last month
- A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartP…☆107Updated 10 months ago
- Implementation of Double DQN reinforcement learning for OpenAI Gym environments with PyTorch.☆67Updated 5 months ago