Add to ORKGIn their paper 'Reward is enough', Silver et al conjecture that the creation of sufficiently good reinforcement learning (RL) agents is a path to artificial general intelligence (AGI). We consider one aspect of intelligence Silver et al did not consider in their paper, namely, that aspect of intelligence involved in designing RL agents. If that is within human reach, then it should also be within AGI's reach. This raises the question: is there an RL environment which incentivises RL agents to design RL agents
Why do languages partition mental concepts into words the way the do? Recent works have taken a info...
Training an Artificial Intelligence could be challenging in so many ways. In our research we are bui...
The field of artificial intelligence has recently experienced a number of breakthroughs thanks ...
In their paper 'Reward is enough', Silver et al conjecture that the creation of sufficiently good re...
AI agents are becoming significantly more general and autonomous. We argue for the “Reward Engineeri...
If we changed the rules, would the wise become fools? Different groups formalize reinforcement learn...
Machine learning researchers distinguish between reinforcement learning and supervised learning and ...
Research on artificial development, reinforcement learning, and intrinsic motivations like curiosity...
textReinforcement Learning (RL) offers a promising approach towards achieving the dream of autonomou...
Reinforcement Learning (RL) is a machine learning technique that enables artificial agents to learn ...
Intelligent agents are becoming increasingly important in our society. We currently have house clean...
Building intelligent agents that can help humans accomplish everyday tasks, such as a personal robot...
Reinforcement learning is the task of learning to act well in a variety of unknown environments. The...
Reinforcement Learning (RL) is an elegant approach to tackle sequential decision-making problems. In...
We tackle the problem of an agent interacting with humans in a general-sum environment, i.e., a non-...
Why do languages partition mental concepts into words the way the do? Recent works have taken a info...
Training an Artificial Intelligence could be challenging in so many ways. In our research we are bui...
The field of artificial intelligence has recently experienced a number of breakthroughs thanks ...
In their paper 'Reward is enough', Silver et al conjecture that the creation of sufficiently good re...
AI agents are becoming significantly more general and autonomous. We argue for the “Reward Engineeri...
If we changed the rules, would the wise become fools? Different groups formalize reinforcement learn...
Machine learning researchers distinguish between reinforcement learning and supervised learning and ...
Research on artificial development, reinforcement learning, and intrinsic motivations like curiosity...
textReinforcement Learning (RL) offers a promising approach towards achieving the dream of autonomou...
Reinforcement Learning (RL) is a machine learning technique that enables artificial agents to learn ...
Intelligent agents are becoming increasingly important in our society. We currently have house clean...
Building intelligent agents that can help humans accomplish everyday tasks, such as a personal robot...
Reinforcement learning is the task of learning to act well in a variety of unknown environments. The...
Reinforcement Learning (RL) is an elegant approach to tackle sequential decision-making problems. In...
We tackle the problem of an agent interacting with humans in a general-sum environment, i.e., a non-...
Why do languages partition mental concepts into words the way the do? Recent works have taken a info...
Training an Artificial Intelligence could be challenging in so many ways. In our research we are bui...
The field of artificial intelligence has recently experienced a number of breakthroughs thanks ...