waterhorse1

LLM_Tree_Search

(ICML 2024) Alphazero-like Tree-Search can guide large language model decoding and training

ChessGPT

(NeurIPS 2023) ChessGPT - Bridging Policy Learning and Language Modeling

MELU_pytorch

An unofficial pytorch implementation of MELU

NAC

(NeurIPS 2021) Neural Auto-Curricula in Two-Player Zero-Sum Games.

CMML_pytorch

ha_ma_ppo

waterhorse1.github.io

apollo_learning

Baidu Apollo Learning

classification

decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

Deep-RL-Keras

Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)

MRI_RL

chess_template

deepdrive

End-to-end simulation for self-driving cars

DeepLearningFlappyBird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

DRL-implementation

haddpg

meta_classification

Meta_Gradient

Meta_Regression

metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

models

Models and examples built with TensorFlow

MRI_DDPG

pearl_lstm

Pearl_relabel

Promp_test

Regression

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

torchopt

TorchOpt is a high-performance optimizer library built upon PyTorch for easy implementation of functional optimization and gradient-based meta-learning.