Scalable Alternative To Reinforcement Learning
Found 3 free book(s)
Actor-Attention-Critic for Multi-Agent Reinforcement …
proceedings.mlr.pressment learning are still far from being scalable (to larger numbers of agents) and being generically applicable to en- ... reinforcement learning does not take these dynamics into ... the alternative paradigm of centralizing policies while keep-ing the critics …
Benchmarking Safe Exploration in Deep Reinforcement …
cdn.openai.comReinforcement learning is an increasingly important technology for developing highly-capable AI ... alternative approaches. Importantly, constrained RL is scalable to the regime of high-dimensional function approximation—the modern deep RL setting.
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec ...
arxiv.orgIn recent years, several di erent approaches have been proposed for reinforcement learning with neural network function approximators. The leading contenders are deep Q -learning [Mni+15], \vanilla" policy gradient methods [Mni+16], and trust region / natural policy gradient methods [Sch+15b].