Recently, gaming companies have become interested in using reinforcement learning and other machine learning techniques in game development.

An AI strategy proven adept at board games like Chess and Go, reinforcement learning, has now been adapted for a powerful protein design program. The results show that reinforcement learning can ...

An AI strategy proven adept at board games like Chess and Go, reinforcement learning, has now been adapted for a powerful protein design program. The results show that reinforcement learning can ...

An MIT study finds reinforcement learning frustrates humans in teamplay — here's what that spells for this paradigm of ML in other areas.

Examples of Reinforcement Learning: Game playing: RL has achieved remarkable success in game playing, particularly with algorithms like Deep Q-Networks (DQN) and AlphaGo. For example, AlphaGo ...

Deep Reinforcement Learning: An approach that integrates deep learning with reinforcement learning, enabling agents to process high-dimensional inputs and learn optimal actions in complex tasks.

AI algorithms for deep-reinforcement learning have demonstrated the ability to learn at very high levels in constrained domains.

Seattle-based software engineer Peter Whidden trained a reinforcement learning algorithm to navigate Pokémon Red.

A Collins, L Thomas, Comparing reinforcement learning approaches for solving game theoretic models: a dynamic airline pricing game example, The Journal of the Operational Research Society, Vol. 63, No ...