instadeepai / matrax
A collection of matrix games in JAX
☆11Updated 5 months ago
Alternatives and similar repositories for matrax
Users that are interested in matrax are comparing it to the libraries listed below
Sorting:
- Code for Discovered Policy Optimisation (NeurIPS 2022)☆10Updated last year
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆51Updated 2 years ago
- 🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX☆57Updated last year
- ☆19Updated 3 months ago
- Unified Implementations of Offline Reinforcement Learning Algorithms☆67Updated 2 weeks ago
- ☆77Updated last month
- POPGym Library in JAX☆11Updated last year
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆17Updated 6 months ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆52Updated last year
- A tool for aggregating and plotting MARL experiment data.☆77Updated 3 months ago
- An Open-Ended Agentic Simulator☆48Updated 9 months ago
- ☆78Updated 6 months ago
- Drop-in environment replacements that make your RL algorithm train faster.☆20Updated 10 months ago
- SkillHack: A Benchmark for Skill Transfer in Open-Ended Reinforcement Learning☆14Updated 2 years ago
- Synchronized Curriculum Learning for RL Agents☆44Updated last month
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆22Updated 2 weeks ago
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Accelerated replay buffers in JAX☆41Updated 2 years ago
- Code of the paper: Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function☆13Updated 2 years ago
- Simple JAX Graphics Library.☆36Updated 6 months ago
- Baselines for gymnax 🤖☆66Updated 2 years ago
- The Starcraft Multi-Agent challenge lite☆42Updated 7 months ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆54Updated 2 years ago
- Scalable Opponent Shaping Experiments in JAX☆24Updated last year
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆45Updated last week
- ☆42Updated 2 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆72Updated 8 months ago
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆19Updated last year
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆100Updated last year
- Simple single-file baselines for Q-Learning in pure-GPU setting☆161Updated last month