raelifin / max-causal-ent-irl

Maximum Causal Entropy Inverse Reinforcement Learning

Maximum Causal Entropy Inverse Reinforcement Learning

Python implementation of Maximum Causal Entropy Inverse Reinforcement Learning from Brian Ziebart's PhD thesis (2010): http://www.cs.cmu.edu/~bziebart/publications/thesis-bziebart.pdf

Main file: max_causal_ent_irl.py.

Work in progress. Current TODOs:

1. Compute P_0 for the occupancy measure for the gradient of the infinite horizon discounted version of the algorithm as in section A of Levine's GPIRL supplement http://graphics.stanford.edu/projects/gpirl/gpirl_supplement.pdf.
2. Documentation.