openai / multi-agent-emergence-environmentsLinks
Environment generation code for the paper "Emergent Tool Use From Multi-Agent Autocurricula"
☆1,745Updated last year
Alternatives and similar repositories for multi-agent-emergence-environments
Users that are interested in multi-agent-emergence-environments are comparing it to the libraries listed below
Sorting:
- Automatic object XML generation for Mujoco☆563Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,335Updated last month
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆3,075Updated last year
- Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments☆1,106Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,184Updated 2 years ago
- Learning Latent Dynamics for Planning from Pixels☆1,208Updated 2 years ago
- Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"☆2,645Updated last year
- A simple OpenAI Gym environment for single and multi-agent reinforcement learning☆763Updated last year
- A toolkit for reproducible reinforcement learning research.☆2,026Updated 2 years ago
- An OpenAI Gym interface to Super Mario Bros. & Super Mario Bros. 2 (Lost Levels) on The NES☆800Updated 2 years ago
- Code for the paper "Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents"☆1,636Updated 2 years ago
- SMAC: The StarCraft Multi-Agent Challenge☆1,261Updated last year
- SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's arch…☆833Updated 2 years ago
- Code for the paper "Exploration by Random Network Distillation"☆910Updated 5 years ago
- An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities☆3,134Updated last month
- Reinforcement Learning in PyTorch☆2,266Updated 4 years ago
- Mastering Atari with Discrete World Models☆959Updated 2 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,304Updated this week
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,310Updated 3 years ago
- Simple and easily configurable 3D FPS-game-like environments for reinforcement learning☆740Updated last month
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,527Updated last year
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,347Updated last year
- Code for Go-Explore: a New Approach for Hard-Exploration Problems☆575Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,650Updated 3 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆824Updated 2 years ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆4,251Updated 2 weeks ago
- Python Multi-Agent Reinforcement Learning framework☆2,086Updated 2 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,456Updated 2 years ago
- Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.☆863Updated 3 years ago
- Tools for accelerating safe exploration research.☆555Updated 2 years ago