AGMCTS augments MCTS with action-score gradients for particle beliefs, a Multiple Importance Sampling tree for reuse, and Area Formula gradients for smooth models, outperforming prior sample-based solvers on continuous benchmarks.
Trust region policy optimization of pomdps
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OPPO augments PPO with optimistic policy evaluation driven by return uncertainty estimates and shows improved results over prior methods on a tabular sparse-reward task.
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Optimistic Proximal Policy Optimization
OPPO augments PPO with optimistic policy evaluation driven by return uncertainty estimates and shows improved results over prior methods on a tabular sparse-reward task.