hardmaru / slimevolleygymLinks
A simple OpenAI Gym environment for single and multi-agent reinforcement learning
☆773Updated 2 years ago
Alternatives and similar repositories for slimevolleygym
Users that are interested in slimevolleygym are comparing it to the libraries listed below
Sorting:
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆492Updated last year
- Simple and easily configurable 3D FPS-game-like environments for reinforcement learning☆754Updated last month
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆579Updated 3 years ago
- A PyTorch library for building deep reinforcement learning agents.☆653Updated last year
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆712Updated last year
- MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research☆505Updated 11 months ago
- Dream to Control: Learning Behaviors by Latent Imagination☆701Updated 5 years ago
- A Python interface for reinforcement learning environments☆390Updated 3 years ago
- hanabi_learning_environment is a research platform for Hanabi experiments.☆662Updated 2 years ago
- A customisable 2D platform for agent-based AI research☆437Updated 2 years ago
- Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments☆1,134Updated 2 years ago
- Tonic RL library☆419Updated last year
- A suite of test scenarios for multi-agent reinforcement learning.☆781Updated 3 weeks ago
- List of competitions related to Reinforcement Learning☆350Updated 2 years ago
- High throughput synchronous and asynchronous reinforcement learning☆971Updated 2 months ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,195Updated 3 years ago
- A PyTorch Platform for Distributed RL☆752Updated 4 years ago
- A grid-world game engine for game AI research☆253Updated last year
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆375Updated 2 years ago
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,530Updated last year
- Python library for Reinforcement Learning.☆916Updated 5 months ago
- Mastering Atari with Discrete World Models☆1,002Updated 3 years ago
- [NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.☆865Updated last year
- World Models Experiments☆675Updated 3 years ago
- Sokoban environment for OpenAI Gym☆393Updated 2 years ago
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆559Updated 2 years ago
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆839Updated 3 years ago
- Pytorch Implementation of MuZero☆353Updated 2 years ago
- JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.☆745Updated 3 years ago
- Library for Model Based RL☆1,049Updated last year