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Official repository of the paper "FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning"
[ICML 2024] The algorithm of Reinforcement Learning with an Assistant Reward Agent (ReLara)
Code for Paper (ReMax: A Simple, Efficient and Effective Reinforcement Learning Method for Aligning Large Language Models)
TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.
Official PyTorch implementation of "ACE:Off-Policy Actor-Critic with Causality-Aware Entropy Regularization"
Simplifying reinforcement learning for complex game environments
ICML'2024: Q-value Regularized Transformer for Offline Reinforcement Learning
Official code for ICML 2024 paper Reinformer: Max-Return Sequence Modeling for offline RL
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
A list of awesome and popular robot learning environments
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
🐝 GPTSwarm: LLM agents as (Optimizable) Graphs
Code for MultiPLY: A Multisensory Object-Centric Embodied Large Language Model in 3D World
Code for "Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation"
CALVIN - A benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks
PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. AAMAS 2024 (full paper with oral presentation).
ProAgent: Building Proactive Cooperative Agents with Large Language Models
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
[NeurIPS 2023] Large Language Models Are Semi-Parametric Reinforcement Learning Agents
Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)
Really Fast End-to-End Jax RL Implementations