MyNameIsArko / RL-FlaxLinks
Various reinforcement learning algorithms written in Jax + Flax
☆26Updated 2 years ago
Alternatives and similar repositories for RL-Flax
Users that are interested in RL-Flax are comparing it to the libraries listed below
Sorting:
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselin…☆56Updated last week
- JAX implementations of various deep reinforcement learning algorithms.☆23Updated 6 months ago
- JAX implementation of RL algorithms and vectorized environments☆47Updated last year
- Baselines for gymnax 🤖☆71Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆103Updated 10 months ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆181Updated 5 months ago
- ☆81Updated 9 months ago
- Flax Implementation of DreamerV3 on Crafter☆15Updated 5 months ago
- ☆82Updated 5 months ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆114Updated last year
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆58Updated 3 years ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆64Updated 2 months ago
- JAX implementations of core Deep RL algorithms☆82Updated 3 years ago
- Unified Implementations of Offline Reinforcement Learning Algorithms☆92Updated 4 months ago
- Accelerated replay buffers in JAX☆43Updated 2 years ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆58Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆110Updated last year
- A collection of RL algorithms written in JAX.☆103Updated 3 years ago
- A collection of matrix games in JAX☆11Updated 9 months ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆53Updated 2 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated last year
- MR.Q is a general-purpose model-free reinforcement learning algorithm.☆109Updated 2 months ago
- Benchmarking RL generalization in an interpretable way.☆161Updated 2 months ago
- Standard interface for entity based reinforcement learning environments.☆38Updated last year
- Deep Reinforcement Learning Framework done with PyTorch☆37Updated 5 months ago
- Skeleton for scalable and flexible Jax RL implementations☆85Updated 2 years ago
- General Modules for JAX☆67Updated 4 months ago
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆11Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.☆133Updated last year