Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
MIT License
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rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compa...
OpenMMLab 3D Human Parametric Model Toolbox and Benchmark
A Platform for Many-Agent Reinforcement Learning
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
A unified framework for robot learning
An API standard for multi-agent reinforcement learning environments, with popular reference envir...
A modular toolbox for meta-learning research with a focus on speed and reproducibility.
Simple and easily configurable grid world environments for reinforcement learning
MATE: the Multi-Agent Tracking Environment.
OpenMMLab Foundational Library for Training Deep Learning Models
An API standard for single-agent reinforcement learning environments, with popular reference envi...
A large-scale benchmark and learning environment.
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcem...
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation ...