- Boston, MA
- https://elliottower.github.io/
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A toolkit for practical Human-AI cooperation research
Multi Agent Traffic Scenario Gym: A scenario-based training and evaluation framework for CARLA.
Find unused, missing and transitive dependencies in a Python project.
corl-team / CORL
Forked from tinkoff-ai/CORLHigh-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
Reinforcement Learning Environments for Sustainable Energy Systems
Non-cooperative satellite operations challenge problems implemented in the Kerbal Space Program game engine
Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals
The Arcade Learning Environment (ALE) -- a platform for AI research.
Generative Agents: Interactive Simulacra of Human Behavior
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning
EleutherAI / minetest
Forked from minetest/minetestMinetest is an open source voxel game engine with easy modding and game creation
Clean PyTorch implementations of imitation and reward learning algorithms
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
Multi-Objective Reinforcement Learning algorithms implementations.
[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models
Multi-objective Gymnasium environments for reinforcement learning
JAX and PZ RL envs + algorithms for swarms of CrazyFlies
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation