instadeepai / matraxLinks
A collection of matrix games in JAX
β11Updated 7 months ago
Alternatives and similar repositories for matrax
Users that are interested in matrax are comparing it to the libraries listed below
Sorting:
- πͺ The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAXβ58Updated last year
- Code for Discovered Policy Optimisation (NeurIPS 2022)β11Updated 2 years ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papersβ53Updated 2 years ago
- β82Updated 3 months ago
- Baselines for gymnax π€β67Updated 2 years ago
- β19Updated 2 months ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorchβ51Updated 2 years ago
- Unified Implementations of Offline Reinforcement Learning Algorithmsβ85Updated 2 months ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancyβ18Updated 8 months ago
- A tool for aggregating and plotting MARL experiment data.β77Updated 5 months ago
- Contains JAX implementation of algorithms for inverse reinforcement learningβ73Updated 11 months ago
- Drop-in environment replacements that make your RL algorithm train faster.β21Updated last year
- β81Updated 8 months ago
- Simple single-file baselines for Q-Learning in pure-GPU settingβ173Updated 3 months ago
- Challenging Memory-based Deep Reinforcement Learning Agentsβ101Updated 8 months ago
- Accelerated minigrid environments with JAXβ141Updated last month
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"β25Updated 2 months ago
- Accelerated replay buffers in JAXβ41Updated 2 years ago
- Code of the paper: Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Functionβ13Updated 2 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRLβ114Updated 10 months ago
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learningβ17Updated 2 years ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]β107Updated last year
- Learning diverse options through the Laplacian representation.β23Updated last year
- Simple JAX Graphics Library.β36Updated 8 months ago
- Vectorization techniques for fast population-based training.β56Updated 2 years ago
- An Open-Ended Agentic Simulatorβ51Updated 11 months ago
- Jax-Baseline is a Reinforcement Learning implementation using JAX and Flax/Haiku libraries, mirroring the functionality of Stable-Baselinβ¦β55Updated 2 months ago
- Corax: Core RL in JAXβ38Updated last year
- HPO and Architecture Benchmarking for RL: Dynamically, Reactive and Efficientβ22Updated last week
- β‘ Flashbax: Accelerated Replay Buffers in JAXβ239Updated 3 months ago