My solution to assignments for Berkeley CS 285: Deep Reinforcement Learning, Decision Making, and Control.
Title | Code and Files | Status | Date |
---|---|---|---|
HW1: Imitation Learning | HW1 | ๐ง | / |
HW2: Policy Gradients | HW2 | ๐ง | / |
HW3: Q-Learning and Actor-Critic Algorithms | HW3 | ๐ง | / |
HW4: Model-Based RL | HW4 | ๐ง | / |
HW5: Exploration and Offline Reinforcement Learning | HW5 | ๐ง | / |