run_bash.sh

#!/usr/bin/env bash
source ~/.virtualenvs/baseline_env/bin/activate
echo $HOME

export OPENAI_LOG_FORMAT=stdout,log,csv,tensorboard

# for seed in $(seq 0 4); do OPENAI_LOGDIR=/home/ubuntu/RL_baselines/.log/4_seeds/log/FetchSlide-$seed mpirun -np 16 python3 -m baselines.run --alg=her --env=FetchSlide-v1  --num_timesteps=400000 --seed=$seed --layers=3 --save_path=/home/ubuntu/RL_baselines/.log/4_seeds/plocicies/FetchSlide-$seed; done

# for seed in $(seq 2 4); do OPENAI_LOGDIR=/home/ubuntu/Energy-Based-Prioritization/EBP_mod/Fetch-PickAndPlace/Method1/temp0.65-$seed mpirun -np 16 python3 -m baselines.run --alg=her --env=FetchPickAndPlace-v1 --num_timesteps=100000 --seed=$seed; done
# for seed in $(seq 0 2); do OPENAI_LOGDIR=/home/ubuntu/Energy-Based-Prioritization/EBP_mod/Fetch-PickAndPlace/Method2/temp0.65/run2-$seed mpirun -np 16 python3 -m baselines.run --alg=her --env=FetchPickAndPlace-v1 --num_timesteps=100000 --seed=$seed; done

python3 -m baselines.run --alg=her --env=FetchReach-v1 --num_timesteps=2000 --save_path=~./models/thesis_demo_model/run4

# python3 -m baselines.run --alg=her --env=FetchReach-v1 --num_timesteps=0 --load_path=/models/thesis_demo/run4 --play