Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic
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Updated
May 18, 2019 - Java
Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic
Demo of java-reinforcement-learning library using flappy bird
MegaMek RL Fork: Developing a Reinforcement Learning agent, adapted to a graph-based representation of Megamek / Battletech as a complementary AI to Princess.
Implementation of the Reflexion agent pattern (Self-Correction) using Spring Boot 4 and Spring AI 2.0 in Java 21. Includes Actor-Reviewer flow and web search with Tavily. Demonstrates 'Code as Orchestration' strategies to build resilient agents without the complexity of graph DSLs like LangGraph.
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