Implementation code of Reasoning Test-time Compute with CVAE

Code for GFlowNet-DPO (Direct Preference Optimization) EMNLP 2024 Main

Multi-Agent Reinforcement Learning in LLMs

A Framework for LLM-based Multi-Agent Reinforced Training and Inference

This is the code for Optimistic Multi-Agent Policy Gradient.

Lecture slides for the MARL book (www.marl-book.com)

Official code repo for the MARL book (www.marl-book.com)

Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022

Running MAPPO model in Tiny-Hanabi using on-policy environment

PyTorch implementation of Soft Actor-Critic (SAC)

PyTorch implementations of deep reinforcement learning algorithms and environments

Running sparta model in Tiny-Hanabi using open spiel environment

This is the official implementation of Multi-Agent PPO (MAPPO).

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

[ALA 2022] Analyzing the Deep RL algorithms SPG, VPG, PPO on the cooperative card game Hanabi.

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

Monte Carlo tree search in JAX

BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically ground…

Official PyTorch implementation of AlberDICE

A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent environments.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

Repo for the Deep Reinforcement Learning Nanodegree program