ltzheng

Cradle

The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.

agent-studio

[ICLR 2025] A trinity of environments, tools, and benchmarks for general virtual agents

CDS

coinrun

Code for the paper "Quantifying Transfer in Reinforcement Learning"

CurriculumMARL

Code of "Towards Skilled Population Curriculum for MARL" + Implementation of Curriculum MARL algorithms based on Ray

data-privacy

Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, etc.

mappo-football

Multi-Agent PPO (MAPPO) with the Google Research Football environment.

pddpg-hfo

Half Field Offense in Robocup 2D Soccer with reinforcement learning

Synapse

[ICLR 2024] Trajectory-as-Exemplar Prompting with Memory for Computer Control

memo

Memory-Guided Diffusion for Expressive Talking Video Generation

ltzheng/agent-studio

[ICLR 2025] A trinity of environments, tools, and benchmarks for general virtual agents

ltzheng/data-privacy

Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, etc.

ltzheng/Synapse

[ICLR 2024] Trajectory-as-Exemplar Prompting with Memory for Computer Control

ltzheng/pddpg-hfo

Half Field Offense in Robocup 2D Soccer with reinforcement learning

ltzheng/CurriculumMARL

Code of "Towards Skilled Population Curriculum for MARL" + Implementation of Curriculum MARL algorithms based on Ray

ltzheng/mappo-football

Multi-Agent PPO (MAPPO) with the Google Research Football environment.

ltzheng/CDS

ltzheng/coinrun

Code for the paper "Quantifying Transfer in Reinforcement Learning"

ltzheng/football

Google football with more wrappers, scenarios and flexible task parameters

ltzheng/pymarl2

Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning

ltzheng/ltzheng.github.io

ltzheng/muzero-general

MuZero