Tags: robotlearning123/mujoco-mcp

Release v0.7.0 - Enhanced Stability & Multi-Model Architecture

MuJoCo MCP v0.6.0 - Reinforcement Learning Integration

Major milestone release featuring comprehensive RL integration:
- Complete RL environment management
- Policy registration and execution
- Training infrastructure with checkpointing
- Support for PPO, DQN, SAC, TD3 algorithms
- Customizable reward functions

Includes all features from v0.3.0-v0.5.2:
- Multi-agent coordination
- Performance monitoring
- FastMCP framework
- AI-powered robot design
- Parameter optimization
- Model generation
- Natural language interface
- Visualization support

Test coverage: 278/283 passed (98.2%)
No breaking changes - full backward compatibility

First stable release - MuJoCo MCP v0.1.0

Major features:
- Natural language control of MuJoCo simulations
- Full Model Context Protocol implementation
- Advanced robot control demos
- Enhanced security and authorization
- Comprehensive documentation and examples

This release enables AI agents like Claude to control physics simulations through conversational commands.