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envsgood first issue
描述
此议题没有描述。
贡献者指南
- 技术栈
- python
- 领域
- machine learningai
- 议题类型
- feature
- 难度面向新贡献者的预计实现难度,1 表示很小改动,5 表示专家级工作。
- 4
- 预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
- 3-5 days
- 活动状态议题当前的可参与程度:新鲜、活跃、陈旧、阻塞或等待维护者输入。
- stale
- 清晰度议题是否清楚说明期望改动、验收标准和下一步。
- unclear
- 前置要求
- Understanding of reinforcement learningFamiliarity with garage's environment APIKnowledge of RLBench
- 新手友好度1-100 的估计分数,表示该议题对首次贡献者的友好程度。
- 20
- 研究方向
- The issue requests adding support for RLBench, a robotic manipulation benchmark. Since the body is empty, the first step is to review garage's existing environment wrappers (e.g., in garage/envs/) and RLBench's API (https://github.com/stepjam/RLBench). Then propose a design for wrapping RLBench tasks as garage environments. Consider contributing a new benchmark set following the pattern of existing ones like DMC. No linked PRs or comments provide additional guidance.