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quad-swarm-rl-sf2

Reinforcement Learning

deep-reinforcement-learning

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quad-swarm-rl-sf2 / git.diff

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	diff --git a/sf_examples/swarm_rl_examples/runs/single_drone.py b/sf_examples/swarm_rl_examples/runs/single_drone.py
	index 03de717..4652986 100644
	--- a/sf_examples/swarm_rl_examples/runs/single_drone.py
	+++ b/sf_examples/swarm_rl_examples/runs/single_drone.py
	@@ -10,7 +10,8 @@ _params = ParamGrid(
	SMALL_MODEL_CLI = QUAD_BASELINE_CLI + (
	" --train_for_env_steps=10000000000 --hidden_size=16 --neighbor_obs_type=none --quads_local_obs=-1 "
	"--quads_num_agents=1 --replay_buffer_sample_prob=0.0 --anneal_collision_steps=0 --save_milestones_sec=10000 "
	- "--quads_neighbor_encoder_type=no_encoder --serial_mode=False --with_wandb=True --wandb_tags sf2"
	+ "--quads_neighbor_encoder_type=no_encoder --serial_mode=False --with_wandb=True --wandb_tags sf2 sync"
	+ "--async_rl=False --reward_clip=10.0"
	)

	_experiment = Experiment(