ArctyrEX : Accelerated Encrypted Execution of General-Purpose Applications

no code implementations • 19 Jun 2023 • Charles Gouert, Vinu Joseph, Steven Dalton, Cedric Augonnet, Michael Garland, Nektarios Georgios Tsoutsos

Fully Homomorphic Encryption (FHE) is a cryptographic method that guarantees the privacy and security of user data during computation.

Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction

1 code implementation • NeurIPS 2021 • Assaf Hallak, Gal Dalal, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik

We first discover and analyze a counter-intuitive phenomenon: action selection through TS and a pre-trained value function often leads to lower performance compared to the original pre-trained agent, even when having access to the exact state and reward in future steps.

Atari Games

Accelerating Reinforcement Learning through GPU Atari Emulation

2 code implementations • NeurIPS 2020 • Steven Dalton, Iuri Frosio, Michael Garland

We introduce CuLE (CUDA Learning Environment), a CUDA port of the Atari Learning Environment (ALE) which is used for the development of deep reinforcement algorithms.

Atari Games reinforcement-learning +1