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cs285-homework-fall2021

Berkeley CS 285: Deep Reinforcement Learning, Decision Making, and Control since the repository contains an orphan $ git clone -b main --single-branch :ZHZisZZ/cs285-homework-fall2 · License unknown · Maintenance unknown

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README

Assignments for Berkeley CS 285: Deep Reinforcement Learning, Decision Making, and Control.

Usage

Make sure to only clone main branch since the repository contains an orphan data branch.

$ git clone -b main --single-branch [email protected]:ZHZisZZ/cs285-homework-fall2021.git

Selected Visualizations

HW1 - Dagger

$ cd hw1
$ sh scripts/dagger.sh
$ tensorboard --logdir data

HW2 - Policy Gradient

$ cd hw2
$ PYTHONPATH=. python cs285/scripts/run_hw2.py \
    --env_name HalfCheetah-v2 --ep_len 150 \
    --discount 0.95 -n 101 -l 2 -s 32 -b 30000 -lr 0.02 -rtg --nn_baseline \
    --exp_name q4_b30000_r$0.02_rtg_nnbaseline \
    --video_log_freq 10
$ tensorboard --logdir data

HW3 - DQN

Note: wrap_deepmind needs to be modified for RGB rendering. 

$ PYTHONPATH=. python cs285/scripts/run_hw3_dqn.py \
    --env_name MsPacman-v0 --exp_name q1_mspacman \
    --video_log_freq 500000

$ PYTHONPATH=. python cs285/scripts/run_hw3_dqn.py \
    --env_name PongNoFrameskip-v4 --exp_name q1_pong \
    --video_log_freq 500000

# tensorboard --logdir data