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Agents & MCP

349 AI news items in agents & mcp, newest first — page 12 of 12.

Procgen Benchmark
Business

Procgen Benchmark

We’re releasing Procgen Benchmark, 16 simple-to-use procedurally-generated environments which provide a direct measure of how quickly a reinforcement learning agent learns generalizable skills.

#agent
OpenAI Blog · 84mo ago
4 min
Emergent tool use from multi-agent interaction
Business

Emergent tool use from multi-agent interaction

We’ve observed agents discovering progressively more complex tool use while playing a simple game of hide-and-seek. Through training in our new simulated hide-and-seek environment, agents build a...

#agent
OpenAI Blog · 86mo ago
4 min
Neural MMO: A massively multiagent game environment
Business

Neural MMO: A massively multiagent game environment

We’re releasing a Neural MMO, a massively multiagent game environment for reinforcement learning agents. Our platform supports a large, variable number of agents within a persistent and...

#agent
OpenAI Blog · 93mo ago
4 min
Quantifying generalization in reinforcement learning
Business

Quantifying generalization in reinforcement learning

We’re releasing CoinRun, a training environment which provides a metric for an agent’s ability to transfer its experience to novel situations and has already helped clarify a longstanding puzzle...

#agent
OpenAI Blog · 96mo ago
4 min
Reinforcement learning with prediction-based rewards
Business

Reinforcement learning with prediction-based rewards

We’ve developed Random Network Distillation (RND), a prediction-based method for encouraging reinforcement learning agents to explore their environments through curiosity, which for the first time...

#agent
OpenAI Blog · 97mo ago
4 min
Learning Montezuma’s Revenge from a single demonstration
Business

Learning Montezuma’s Revenge from a single demonstration

We’ve trained an agent to achieve a high score of 74,500 on Montezuma’s Revenge from a single human demonstration, better than any previously published result. Our algorithm is simple: the agent...

#agent
OpenAI Blog · 101mo ago
4 min
Meta-learning for wrestling
Business

Meta-learning for wrestling

We show that for the task of simulated robot wrestling, a meta-learning agent can learn to quickly defeat a stronger non-meta-learning agent, and also show that the meta-learning agent can adapt...

#meta #agent
OpenAI Blog · 110mo ago
4 min
Learning to model other minds
Business

Learning to model other minds

We’re releasing an algorithm which accounts for the fact that other agents are learning too, and discovers self-interested yet collaborative strategies like tit-for-tat in the iterated prisoner’s...

#agent
OpenAI Blog · 111mo ago
4 min
Learning to cooperate, compete, and communicate
Business

Learning to cooperate, compete, and communicate

Multiagent environments where agents compete for resources are stepping stones on the path to AGI. Multiagent environments have two useful properties: first, there is a natural curriculum—the...

#agent
OpenAI Blog · 114mo ago
4 min
Learning to communicate
Business

Learning to communicate

In this post we’ll outline new OpenAI research in which agents develop their own language.

#openai #agent
OpenAI Blog · 117mo ago
4 min