Assignments for Berkeley CS 285: Deep Reinforcement Learning, Decision Making, and Control.
See installation instruction to setup environment.
- HW1: Imitation Learning
- Implementation
- Experiments
- Documentation
- HW2: Policy Gradients
- Implementation
- Experiments
- Documentation
- HW3: Q-Learning and Actor-Critic Algorithms
- Implementation
- Experiments
- Documentation
- HW4: Model-Based Reinforcement Learning
- Implementation
- Experiments
- Documentation
- HW5: Exploration and Offline Reinforcement Learning
- Implementation
- Experiments
- Documentation