English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The recent advances in reinforcement learning have led to effective methodsable to obtain above human-level performances in very complex environments.However, once solved, these environments become less valuable, and newchallenges with different or more complex scenarios are needed to supportresearch advances. This work presents DIAMBRA Arena, a new platform forreinforcement learning research and experimentation, featuring a collection ofhigh-quality environments exposing a Python API fully compliant with OpenAI Gymstandard. They are episodic tasks with discrete actions and observationscomposed by raw pixels plus additional numerical values, all supporting bothsingle player and two players mode, allowing to work on standard reinforcementlearning, competitive multi-agent, human-agent competition, self-play,human-in-the-loop training and imitation learning. Software capabilities aredemonstrated by successfully training multiple deep reinforcement learningagents with proximal policy optimization obtaining human-like behavior. Resultsconfirm the utility of DIAMBRA Arena as a reinforcement learning research tool,providing environments designed to study some of the most challenging topics inthe field.

DIAMBRA Arena: a New Reinforcement Learning Platform for Research and Experimentation