diff --git a/README.md b/README.md
index 1e6f0d6d3..bdd1ae906 100644
--- a/README.md
+++ b/README.md
@@ -14,7 +14,7 @@ rllab is a framework for developing and evaluating reinforcement learning algori
 - [Relative Entropy Policy Search](https://github.com/rllab/rllab/blob/master/rllab/algos/reps.py)
 - [Trust Region Policy Optimization](https://github.com/rllab/rllab/blob/master/rllab/algos/trpo.py)
 - [Cross Entropy Method](https://github.com/rllab/rllab/blob/master/rllab/algos/cem.py)
-- [Covariance Matrix Adaption Evolution Strategy](https://github.com/rllab/rllab/blob/master/rllab/algos/cma_es.py)
+- [Covariance Matrix Adaptation Evolution Strategy](https://github.com/rllab/rllab/blob/master/rllab/algos/cma_es.py)
 - [Deep Deterministic Policy Gradient](https://github.com/rllab/rllab/blob/master/rllab/algos/ddpg.py)
 
 rllab is fully compatible with [OpenAI Gym](https://gym.openai.com/). See [here](http://rllab.readthedocs.io/en/latest/user/gym_integration.html) for instructions and examples.