Training Reinforcement Learning Agents
Developers and researchers can train RL agents on standard benchmarks like Atari or PyBullet using PyTorch implementations.
Algorithm Benchmarking and Comparison
Users can benchmark different RL algorithms under a unified interface to evaluate performance on custom or standard environments.