Rl Environment Python Packages

openenv

Open-source environments for reinforcement learning. No need for MuJoCo!

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

moonfish

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

carl-core

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

floxs

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

nemo-gym

Evaluate and improve models and agents using environments

xenoverse

Benchmarking general decision-making with open & random worlds

forest-gen

No description available