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Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning

ICLR 2023 · Reinforcement learning › Policy gradient and actor-critic · approach: Model-based RL with guarantees · 0 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
increase rollout horizon from 1 to 5 steps (diminishing returns beyond 5)SAC critic and actor expansion with oracle and learned models · InvertedPendulum, Cartpole, Hopper, Walker2d, HalfCheetahsample efficiency / episodic returnHelped
increase rollout horizon beyond 5 stepsSAC critic and actor expansion with oracle dynamics · five continuous control benchmarkssample efficiency / episodic returnNo clear effect
use oracle dynamics model instead of learned ensemble model (ablation)SAC critic expansion and actor expansion · five continuous control benchmarkssample efficiency / episodic returnNo clear effect
use oracle dynamics model instead of learned ensemble model (ablation)SAC actor expansion at long horizons · HalfCheetah and Hopperactor gradient stability and returnNo clear effect
average Q-targets over multiple particles (30 for CE, 10 for AE) to reduce target variance (ablation)SAC critic and actor expansion · five continuous control benchmarkstraining performanceNo clear effect
use deterministic policy (DDPG) instead of stochastic SAC (ablation)value expansion with oracle dynamics · five continuous control benchmarksdiminishing returns of horizonNo clear effect
use model-free Retrace instead of model-based value expansionSAC critic expansion · five continuous control benchmarkssample efficiencyNo clear effect
use oracle model vs Retrace (model-free) at H=5 for wall-clock costmodel-based critic and actor expansion · wall-clock training timetraining time: up to 15x slowerHurt
use actor expansion instead of critic expansion (backprop through rollout)SAC value expansion · HalfCheetah, Hopper, Walker2dreturn and gradient stabilityHurt
increase discount-driven horizon via discount factor change (ablation)SAC value expansion on InvertedPendulum · InvertedPendulumdiminishing returns patternNo clear effect

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