A library of reinforcement learning components and agents
Role in this project:
ML Engineer Contributions:5 commits in 9 months
Contributions summary:Johan contributed to the reinforcement learning library by implementing and modifying core components. They refactored replay mechanisms and added functionalities to existing modules like R2D2, IMPALA. The changes included adding options for controlling the number of steps and integrating learning rate annealing. The user also worked on logging improvements within the IMPALA framework.
reinforcement-learningagents
Contributions:67 commits, 58 pushes, 1 branch in 10 months