OpenAI Baselines: ACKTR & A2C
We’re releasing two new OpenAI Baselines implementations: ACKTR and A2C. A2C is a synchronous, deterministic variant of...
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We’re releasing two new OpenAI Baselines implementations: ACKTR and A2C. A2C is a synchronous, deterministic variant of...
Our Dota 2 result shows that self-play can catapult the performance of machine learning systems from far below human lev...
We’ve created a bot which beats the world’s top professionals at 1v1 matches of Dota 2 under standard tournament rules....
RL-Teacher is an open-source implementation of our interface to train AIs via occasional human feedback rather than hand...
We’ve found that adding adaptive noise to the parameters of reinforcement learning algorithms frequently boosts performa...
We’re releasing a new class of reinforcement learning algorithms, Proximal Policy Optimization (PPO), which perform comp...
We’ve created images that reliably fool neural network classifiers when viewed from varied scales and perspectives. This...
We’re open-sourcing a high-performance Python library for robotic simulation using the MuJoCo engine, developed over our...
One step towards building safe AI systems is to remove the need for humans to write goal functions, since using a simple...
Multiagent environments where agents compete for resources are stepping stones on the path to AGI. Multiagent environmen...
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