diff --git a/c_learning/README.md b/c_learning/README.md
index 9af9fa9ac96..b215b771f2c 100644
--- a/c_learning/README.md
+++ b/c_learning/README.md
@@ -41,7 +41,7 @@ echo "export LD_LIBRARY_PATH=\$LD_LIBRARY_PATH:$HOME/.mujoco/mujoco200/bin" >> ~
 ```
 wget https://repo.anaconda.com/miniconda/Miniconda2-latest-Linux-x86_64.sh
 chmod +x Miniconda2-latest-Linux-x86_64.sh
-chmod +x ./Miniconda2-latest-Linux-x86_64.sh
+./Miniconda2-latest-Linux-x86_64.sh
 ```
 Restart your terminal so the changes take effect.
 
diff --git a/c_learning/c_learning_agent.py b/c_learning/c_learning_agent.py
index 26f0bea416b..cec0964e10b 100644
--- a/c_learning/c_learning_agent.py
+++ b/c_learning/c_learning_agent.py
@@ -370,7 +370,7 @@ def critic_loss(self,
                   gamma = 1.0,
                   weights = None,
                   training = False,
-                  w_clipping = None,
+                  w_clipping = 20.0,
                   self_normalized = False,
                   lambda_fix = False,
                   ):
diff --git a/darc/README.md b/darc/README.md
index cd8ee45f6aa..7eb229d71cd 100644
--- a/darc/README.md
+++ b/darc/README.md
@@ -42,7 +42,7 @@ echo "export LD_LIBRARY_PATH=\$LD_LIBRARY_PATH:$HOME/.mujoco/mujoco200/bin" >> ~
 ```
 wget https://repo.anaconda.com/miniconda/Miniconda2-latest-Linux-x86_64.sh
 chmod +x Miniconda2-latest-Linux-x86_64.sh
-chmod +x ./Miniconda2-latest-Linux-x86_64.sh
+./Miniconda2-latest-Linux-x86_64.sh
 ```
 Restart your terminal so the changes take effect.
 
diff --git a/rce/README.md b/rce/README.md
index b3da431e47d..c87f5983985 100644
--- a/rce/README.md
+++ b/rce/README.md
@@ -41,7 +41,7 @@ echo "export LD_LIBRARY_PATH=\$LD_LIBRARY_PATH:$HOME/.mujoco/mujoco200/bin" >> ~
 ```
 wget https://repo.anaconda.com/miniconda/Miniconda2-latest-Linux-x86_64.sh
 chmod +x Miniconda2-latest-Linux-x86_64.sh
-chmod +x ./Miniconda2-latest-Linux-x86_64.sh
+./Miniconda2-latest-Linux-x86_64.sh
 ```
 Restart your terminal so the changes take effect.
 
@@ -69,19 +69,19 @@ The following lines replicate the RCE experiments on the Sawyer tasks and Adept
 
 
 ```
-python train_eval.py --root_dir=~/c_learning/sawyer_drawer_open --gin_bindings='train_eval.env_name="sawyer_drawer_open"'
+python train_eval.py --root_dir=~/rce/sawyer_drawer_open --gin_bindings='train_eval.env_name="sawyer_drawer_open"'
 
-python train_eval.py --root_dir=~/c_learning/sawyer_push --gin_bindings='train_eval.env_name="sawyer_push"'
+python train_eval.py --root_dir=~/rce/sawyer_push --gin_bindings='train_eval.env_name="sawyer_push"'
 
-python train_eval.py --root_dir=~/c_learning/sawyer_lift --gin_bindings='train_eval.env_name="sawyer_lift"'
+python train_eval.py --root_dir=~/rce/sawyer_lift --gin_bindings='train_eval.env_name="sawyer_lift"'
 
-python train_eval.py --root_dir=~/c_learning/door --gin_bindings='train_eval.env_name="door-human-v0"'
+python train_eval.py --root_dir=~/rce/door --gin_bindings='train_eval.env_name="door-human-v0"'
 
-python train_eval.py --root_dir=~/c_learning/sawyer_box_close --gin_bindings='train_eval.env_name="sawyer_box_close"'
+python train_eval.py --root_dir=~/rce/sawyer_box_close --gin_bindings='train_eval.env_name="sawyer_box_close"'
 
-python train_eval.py --root_dir=~/c_learning/sawyer_bin_picking --gin_bindings='train_eval.env_name="sawyer_bin_picking"' --gin_bindings='critic_loss.q_combinator="max"' --gin_bindings='actor_loss.q_combinator="max"'
+python train_eval.py --root_dir=~/rce/sawyer_bin_picking --gin_bindings='train_eval.env_name="sawyer_bin_picking"' --gin_bindings='critic_loss.q_combinator="max"' --gin_bindings='actor_loss.q_combinator="max"'
 
-python train_eval.py --root_dir=~/c_learning/hammer --gin_bindings='train_eval.env_name="hammer-human-v0"'
+python train_eval.py --root_dir=~/rce/hammer --gin_bindings='train_eval.env_name="hammer-human-v0"'
 ```
 
 To run SQIL, add the additional arguments: