Farama-Foundation / AutoROMLinks
A tool to automate installing Atari ROMs for the Arcade Learning Environment
☆77Updated 3 months ago
Alternatives and similar repositories for AutoROM
Users that are interested in AutoROM are comparing it to the libraries listed below
Sorting:
- An API conversion tool for popular external reinforcement learning environments☆191Updated 2 weeks ago
- A simple and highly efficient RTS-game-inspired environment for reinforcement learning (formerly Gym-MicroRTS)☆271Updated 3 months ago
- Code for the paper "Phasic Policy Gradient"☆266Updated 2 years ago
- PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tu…☆154Updated 2 years ago
- ☆241Updated 11 months ago
- A collection of pre-trained RL agents using Stable Baselines3☆139Updated last year
- Level-based Foraging (LBF): A multi-agent environment for RL☆196Updated last year
- Vectorized interface for reinforcement learning environments☆143Updated 2 years ago
- A grid-world game engine for game AI research☆250Updated last year
- Benchmarking RL generalization in an interpretable way.☆168Updated 3 weeks ago
- ☆316Updated 10 months ago
- Lightweight multi-agent gridworld Gym environment☆212Updated 2 years ago
- A tool for aggregating and plotting MARL experiment data.☆79Updated 9 months ago
- Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"☆178Updated 2 years ago
- A Python interface for reinforcement learning environments☆385Updated 2 years ago
- Code for Gym documentation website☆43Updated 4 months ago
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆23Updated last year
- Fast and procedurally generated side-scroller-game-like graphical environments (formerly Procgen)☆31Updated 2 years ago
- [NeurIPS 2022] Open source code for reusing prior computational work in RL.☆97Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆104Updated last year
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆206Updated 3 years ago
- Keeping track of RL experiments☆163Updated 2 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆223Updated last year
- Experimentation with Regularized Nash Dynamics on a GPU accelerated game☆47Updated 2 years ago
- Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)☆127Updated last year
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆117Updated last year
- Datasets with baselines for Offline MARL.☆186Updated last week
- Adaptable tools to make reinforcement learning and evolutionary computation algorithms.☆56Updated 3 years ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆317Updated last year
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆56Updated 2 years ago