diff --git a/atari/benchmark-gym.py b/atari/benchmark-gym.py
index 2fc5ea52..5fc18460 100644
--- a/atari/benchmark-gym.py
+++ b/atari/benchmark-gym.py
@@ -44,7 +44,7 @@ def work():
     for p in procs:
         p.start()
 
-    for t in tqdm.trange(100000):
+    for _ in tqdm.trange(100000):
         Q.get()
 
 def bench_thread(ngame):
diff --git a/eval.py b/eval.py
index 30244c7b..b3f4faa2 100644
--- a/eval.py
+++ b/eval.py
@@ -45,7 +45,7 @@ def actor(batch):
 
     evaluator.episode_start(0)
 
-    for n in eval_iters.iters():
+    for _ in eval_iters.iters():
         GC.Run()
     GC.Stop()
 
diff --git a/eval_checkforward.py b/eval_checkforward.py
index f6854502..747f11c1 100644
--- a/eval_checkforward.py
+++ b/eval_checkforward.py
@@ -154,7 +154,7 @@ def actor(self, batch):
         GC.reg_callback("actor", forward_actor.actor)
     GC.Start()
 
-    for n in eval_iters.iters():
+    for _ in eval_iters.iters():
         GC.Run()
     GC.Stop()
 
diff --git a/eval_lstm.py b/eval_lstm.py
index 91f251ee..ba101ebe 100644
--- a/eval_lstm.py
+++ b/eval_lstm.py
@@ -39,7 +39,7 @@ def actor(batch):
 
     trainer.episode_start(0)
 
-    for n in eval_iters.iters():
+    for _ in eval_iters.iters():
         GC.Run()
 
     GC.Stop()
diff --git a/eval_reduced_mcts.py b/eval_reduced_mcts.py
index 3694bcea..f973e0d1 100644
--- a/eval_reduced_mcts.py
+++ b/eval_reduced_mcts.py
@@ -54,7 +54,7 @@ def actor(batch):
     evaluator.episode_start(0)
     GC.Start()
 
-    for n in eval_iters.iters():
+    for _ in eval_iters.iters():
         GC.Run()
     GC.Stop()
 
diff --git a/ex_elfpy.py b/ex_elfpy.py
index 4ca110b0..553c9ef6 100644
--- a/ex_elfpy.py
+++ b/ex_elfpy.py
@@ -87,7 +87,7 @@ def actor(self, cpu_batch, gpu_batch):
     wrapper.reg_callback("train", trainer.train)
     wrapper.reg_callback("actor", trainer.actor)
 
-    for i in tqdm.trange(1000):
+    for _ in tqdm.trange(1000):
         wrapper.Run()
 
     print("Done")
diff --git a/go/game.py b/go/game.py
index 485f674b..fcd9a74d 100644
--- a/go/game.py
+++ b/go/game.py
@@ -142,11 +142,9 @@ def train(batch):
     GC.Start()
 
     import tqdm
-    for k in tqdm.trange(args.num_iter):
+    for _ in tqdm.trange(args.num_iter):
         b = datetime.now()
-        # print("Before wait")
         GC.Run()
-        # print("wake up from wait")
         elapsed_wait_only += (datetime.now() - b).total_seconds() * 1000
 
     print(len(game_records_visited))
diff --git a/rlpytorch/runner/multi_process.py b/rlpytorch/runner/multi_process.py
index b64f0739..92dd553f 100644
--- a/rlpytorch/runner/multi_process.py
+++ b/rlpytorch/runner/multi_process.py
@@ -78,7 +78,7 @@ def run(self):
             if args.tqdm: iterator = tqdm.trange(args.num_minibatch, ncols=50)
             else: iterator = range(args.num_minibatch)
 
-            for i in iterator:
+            for _ in iterator:
                 self.GC.Run()
 
             if self.episode_summary is not None:
diff --git a/rts/game_CF/game.py b/rts/game_CF/game.py
index 7b62616f..63db8b3d 100644
--- a/rts/game_CF/game.py
+++ b/rts/game_CF/game.py
@@ -57,7 +57,7 @@ def actor(batch):
     GC.Start()
 
     import tqdm
-    for k in tqdm.trange(nIter):
+    for _ in tqdm.trange(nIter):
         b = datetime.now()
         GC.Run()
         elapsed_wait_only += (datetime.now() - b).total_seconds() * 1000
diff --git a/rts/game_MC/game.py b/rts/game_MC/game.py
index 40c36437..bde8f0cb 100644
--- a/rts/game_MC/game.py
+++ b/rts/game_MC/game.py
@@ -137,7 +137,7 @@ def reduced_project(batch):
     GC.Start()
 
     import tqdm
-    for k in tqdm.trange(nIter):
+    for _ in tqdm.trange(nIter):
         b = datetime.now()
         GC.Run()
         elapsed_wait_only += (datetime.now() - b).total_seconds() * 1000
diff --git a/rts/game_TD/game.py b/rts/game_TD/game.py
index a46fb814..3e3ad247 100644
--- a/rts/game_TD/game.py
+++ b/rts/game_TD/game.py
@@ -57,7 +57,7 @@ def actor(batch):
     GC.Start()
 
     import tqdm
-    for k in tqdm.trange(nIter):
+    for _ in tqdm.trange(nIter):
         b = datetime.now()
         GC.Run()
         elapsed_wait_only += (datetime.now() - b).total_seconds() * 1000
diff --git a/train_lstm.py b/train_lstm.py
index a6f3f7db..493707cf 100644
--- a/train_lstm.py
+++ b/train_lstm.py
@@ -24,7 +24,7 @@
 
     model = env["model_loaders"][0].load_model(GC.params)
     mi = ModelInterface()
-    mi.add_model("model", model, optim_params={ "lr" : 0.001})
+    mi.add_model("model", model, params={ "lr" : 0.001})
     mi.add_model("actor", model, copy=True, cuda=all_args.gpu is not None, gpu_id=all_args.gpu)
 
     trainer.setup(sampler=env["sampler"], mi=mi, rl_method=env["method"])