From 0fb70fa484a4f8a11594c82f63bae3a7c2707e1c Mon Sep 17 00:00:00 2001 From: Shangtong Zhang Date: Sat, 11 Nov 2017 20:58:18 -0700 Subject: [PATCH] Minor fix --- README.md | 2 +- agent/async_agent.py | 1 - main.py | 2 +- 3 files changed, 2 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 8a3166d..bd2d05e 100644 --- a/README.md +++ b/README.md @@ -89,7 +89,7 @@ Detailed usage and all training parameters can be found in ```main.py```. And you need to create following directories before running the program: ``` cd DeepRL -mkdir data log evaluation_log +mkdir data log ``` # References diff --git a/agent/async_agent.py b/agent/async_agent.py index 7bc12f8..b5e50d7 100644 --- a/agent/async_agent.py +++ b/agent/async_agent.py @@ -32,7 +32,6 @@ def evaluate(config, task, learning_network, extra): test_wall_times = [] initial_time = time.time() worker = config.worker(config, learning_network, extra) - # config.logger = Logger('./evaluation_log', gym.logger) while True: steps = config.total_steps.value if config.test_interval and steps % config.test_interval == 0: diff --git a/main.py b/main.py index 0ecda45..6e2ca81 100644 --- a/main.py +++ b/main.py @@ -202,7 +202,7 @@ def a3c_continuous(): def p3o_continuous(): config = Config() config.task_fn = lambda: Pendulum() - config.task_fn = lambda: BipedalWalker() + # config.task_fn = lambda: BipedalWalker() # config.task_fn = lambda: BipedalWalkerHardcore() # config.task_fn = lambda: Roboschool('RoboschoolInvertedPendulum-v1') # config.task_fn = lambda: Roboschool('RoboschoolAnt-v1')