riiswa / kanrlView external linksLinks
Kolmogorov-Arnold Network for Reinforcement Leaning, initial experiments
☆296Apr 9, 2025Updated 10 months ago
Alternatives and similar repositories for kanrl
Users that are interested in kanrl are comparing it to the libraries listed below
Sorting:
- C++ and Cuda ops for fused FourierKAN☆82May 10, 2024Updated last year
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆87Jun 4, 2024Updated last year
- ☆350May 3, 2024Updated last year
- ☆16Aug 19, 2024Updated last year
- Kolmogorov Arnold Networks☆16,159Jan 19, 2025Updated last year
- SBX: Stable Baselines Jax (SB3 + Jax) RL algorithms☆557Updated this week
- Kolmogorov-Arnold Networks with various basis functions like B-Splines, Fourier, Chebyshev, Wavelets etc☆36May 8, 2024Updated last year
- FastKAN: Very Fast Implementation of Kolmogorov-Arnold Networks (KAN)☆467Jun 20, 2024Updated last year
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆23Oct 28, 2024Updated last year
- The PyTorch implementation of Generative Pre-trained Transformers (GPTs) using Kolmogorov-Arnold Networks (KANs) for language modeling☆725Nov 25, 2024Updated last year
- Variations of Kolmogorov-Arnold Networks☆116May 15, 2024Updated last year
- Challenging Memory-based Deep Reinforcement Learning Agents☆109Oct 27, 2024Updated last year
- Kolmogorov–Arnold Networks with modified activation (using MLP to represent the activation)☆108Oct 4, 2025Updated 4 months ago
- An easy to use PyTorch implementation of the Kolmogorov Arnold Network and a few novel variations☆189Nov 24, 2024Updated last year
- A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and mor…☆3,172Dec 14, 2025Updated 2 months ago
- Octax: Accelerated CHIP-8 Arcade Environments for JAX☆35Nov 20, 2025Updated 2 months ago
- JAX Multi-Agent RL, Neuro-Evolution, and A-Life Library☆12Oct 12, 2025Updated 4 months ago
- Implementation of Jump-Start Reinforcement Learning (JSRL) with Stable Baselines3☆37Jan 12, 2024Updated 2 years ago
- ☆90Nov 3, 2024Updated last year
- ☆31Jun 21, 2024Updated last year
- Code of the Paper "Time-Efficient Reinforcement Learning with Stochastic Stateful Policies"☆25May 5, 2024Updated last year
- Drop-in environment replacements that make your RL algorithm train faster.☆21Jun 19, 2024Updated last year
- Really Fast End-to-End Jax RL Implementations☆1,022Sep 9, 2024Updated last year
- KANs and MLPs☆12Jun 7, 2024Updated last year
- Code for Kolmogorov-Arnold Network for Quantum Architecture Search i.e., KANQAS☆18Jan 9, 2025Updated last year
- Hardware-Accelerated Reinforcement Learning Algorithms in pure Jax!☆260Oct 31, 2025Updated 3 months ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆122Aug 22, 2024Updated last year
- (Crafter + NetHack) in JAX. ICML 2024 Spotlight.☆371Jul 7, 2025Updated 7 months ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆234Nov 24, 2025Updated 2 months ago
- 🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL☆390Oct 29, 2025Updated 3 months ago
- ☆140May 8, 2024Updated last year
- RL Environments in JAX 🌍☆857May 30, 2025Updated 8 months ago
- Simple single file implementations of Reinforcement Learning algorithms in Julia☆23Feb 15, 2025Updated 11 months ago
- A simple feature-based time series classifier using Kolmogorov–Arnold Networks☆122Aug 17, 2024Updated last year
- ☆16Jul 16, 2024Updated last year
- Temporally Correlated Episodic Reinforcement Learning, ICLR 24☆12Apr 8, 2024Updated last year
- Implementation of Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning (Kohler, Delfosse, et. al. 2024).☆14Sep 10, 2024Updated last year
- A Dual-RL method DVL: Dual-V Learning for offline and online reinforcement learning☆15Oct 22, 2023Updated 2 years ago
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Jan 21, 2025Updated last year