display of env 'IntersectionEnv':
swb19 opened this issue · comments
swb19 commented
When I run the following code, I find that although I can train normally, the visualization part always fails to work (black screen is displayed). It seems to be the problem of self.env.unwrapped.viewer.set_agent_display
in evaluation.py?
Have you encountered similar problems?
python experiments.py evaluate configs/IntersectionEnv/env_multi_agent.json \
configs/IntersectionEnv/agents/DQNAgent/ego_attention_2h.json \
--train --episodes=3000
Edouard Leurent commented