Bibliography (4):

1. MuZero: Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

2. Procgen Benchmark: We’re releasing Procgen Benchmark, 16 simple-to-use procedurally-generated environments which provide a direct measure of how quickly a reinforcement learning agent learns generalizable skills

3. Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

4. Wikipedia Bibliography:

   1. Reinforcement learning