Rl Environment Python Packages

nemo-gym

Evaluate and improve models and agents using environments

moonfish

~2000 Elo Python Chess Engine that implements: Negamax, PeSTO’s Evaluation, Null Move, Quiescence Search, Lazy SMP.

ssebench-sdk

RL environments with verifiable rewards for AI coding agents on real security vulnerabilities, and a benchmark built on them

ssebench

RL environments with verifiable rewards for AI coding agents on real security vulnerabilities, and a benchmark built on them

carl-studio

Coherence-Aware Reinforcement Learning (CARL) - breakthrough LLM post-training and test-time training paradigm. carl builds the world's most advanced and intelligent agent systems that are a step change over current gen agents

carl-core

Coherence math primitives for CARL (Coherence-Aware Reinforcement Learning)

xenoverse

Benchmarking general decision-making with open & random worlds

codefix-env

Gymnasium RL environment for training LLM agents to autonomously debug and fix Python code with secure sandboxing and test-driven feedback.

forest-gen

Forest generation module utilizing STRIPE-kit

floxs

Flock and swarm multi-agent RL training environments implemented in JAX