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Dopamine is a reinforcement learning research framework designed for prototyping and testing algorithms across diverse simulated environments. It provides an agent development toolkit that utilizes a flat class hierarchy to facilitate the creation and extension of learning agents. The framework includes a standardization layer via environment wrappers that connect agents to various physics simulations and gaming environments. It also features a high-performance experience replay buffer for storing and sampling transition data to improve training stability, alongside a dedicated hyperparameter
Habitat-Lab is an open-source platform for training and evaluating embodied AI agents in photorealistic 3D indoor environments. It functions as a high-performance 3D indoor environment simulator that supports physics-based interaction, enabling research into navigation and manipulation tasks. The platform provides a modular task-environment abstraction that separates task logic from environment simulation, using configuration-driven pipeline assembly to compose simulation and training pipelines. It includes a hierarchical sensor-actuator architecture for mixing and matching perception and act
ChainerRL is a deep reinforcement learning library built on top of Chainer.
Agentic RL Training at Scale
The main features of primeintellect-ai/prime-rl are: Reinforcement Learning Frameworks.
Projects with overlapping indexed features include: facebookresearch/habitat-lab — Habitat-Lab is an open-source platform for training and evaluating embodied AI agents in photorealistic 3D indoor… google/dopamine — Dopamine is a reinforcement learning research framework designed for prototyping and testing algorithms across diverse… aunum/gold — Reinforcement Learning in Go. deep-agent/r1-v. chainer/chainerrl — ChainerRL is a deep reinforcement learning library built on top of Chainer. alibaba/roll — ROLL is a distributed reinforcement learning framework and model alignment toolkit designed for large language models.…
