We propose RLang, a DSL designed to be a standardized medium to provide background knowledge to RL agents in an algorithm-agnostic manner. RLang programs can be ...
Aug 12, 2022 · We introduce RLang, a domain-specific language (DSL) for communicating domain knowledge to an RL agent.
RLang, a domain-specific language (DSL) for communicating domain knowledge to an RL agent that can specify information about every element of a Markov decision ...
Aug 12, 2022 · We define precise syntax and grounding semantics for RLang, and provide a parser implementation that grounds RLang programs to an algorithm- ...
We introduce RLang, a domain-specific language (DSL) for communicating domain knowledge to an RL agent.
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Abstract:Communicating useful background knowledge to reinforcement learning (RL) agents is an important and effective method for accelerating learning.
We introduce RLang, a domain-specific language. (DSL) for communicating domain knowledge to an RL agent. Unlike existing RL DSLs that.
Jul 1, 2023 · We introduce RLang, a domain-specific language (DSL) for communicating domain knowledge to an RL agent. Unlike existing RL DSLs that ground ...
We introduce RLang, a domain-specific language (DSL) for communicating domain knowledge to an RL agent. Unlike existing RL DSLs that ground to ...
A declarative language for expressing partial world knowledge to reinforcement learning agents. rlang.ai/ 14 stars 0 forks
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