flashbax
Flashbax offers optimized replay buffers for JAX, supporting both academic and industrial reinforcement learning applications. Its framework includes diverse buffer types, such as Flat, Trajectory, and Prioritised Buffers, emphasizing efficient memory and prioritisation. Ideal for algorithms using recurrent networks, Flashbax integrates effortlessly into various projects, enhancing speed and performance in RL environments. Discover detailed examples and benchmarks to effectively utilize Flashbax in your reinforcement learning projects.
