amacrutherford

amacrutherford's Stars

• LantaoYu/MARL-Papers

  Paper list of multi-agent reinforcement learning (MARL)

  4k2399729

• Farama-Foundation/PettingZoo

  An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

  Language:Python2.6k18374412

• marlbenchmark/on-policy

  This is the official implementation of Multi-Agent PPO (MAPPO).

  Language:Python1.3k793296

• hans/obsidian-citation-plugin

  Obsidian plugin which integrates your academic reference manager with the Obsidian editor. Search your references from within Obsidian and automatically create and reference literature notes for papers and books.

  Language:TypeScript1.1k1724583

• luchris429/purejaxrl

  Really Fast End-to-End Jax RL Implementations

  Language:Python707112260

• FLAIROx/JaxMARL

  Multi-Agent Reinforcement Learning with JAX

  Language:Python431103880

• mees/calvin

  CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

  Language:Python39468057

• proroklab/VectorizedMultiAgentSimulator

  VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

  Language:Python33585969

• mit-acl/gym-collision-avoidance

  Language:OpenEdge ABL24661876

• ojroques/hugo-researcher

  A simple resume theme for Hugo

  Language:HTML233723129

• Emerge-Lab/gpudrive

  GPU-acceleration of Nocturne via Madrona

  Language:Jupyter Notebook22054420

• facebookresearch/minimax

  Efficient baselines for autocurricula in JAX.

  Language:Python1726514

• keraJLi/rejax

  Language:Python1474107

• mit-acl/rl_collision_avoidance

  Training code for GA3C-CADRL algorithm (collision avoidance with deep RL)

  Language:Python11962530

• mttga/purejaxql

  Simple single-file baselines for Q-Learning in pure-GPU setting

  Language:Python92103

• DramaCow/jaxued

  Language:Python61207

• RobertTLange/gymnax-blines

  Baselines for gymnax 🤖

  Language:Jupyter Notebook584713

• CzJaewan/rl_local_planner

  Language:Python435111

• brantondemoss/DITTO

  Language:Python6201

• amacrutherford/pymarl

  Python Multi-Agent Reinforcement Learning framework

  Language:Python1000

• senthilarul/rl_collision_avoidance

  Training code for GA3C-CADRL algorithm (collision avoidance with deep RL)

  Language:Python1100