Efficient Diversity-based Experience Replay for Deep Reinforcement Learning

arXiv:2410.20487 · cs.LG, cs.AI · Submitted 2024-10-27 · Read on arXiv

cs.LG, cs.AI

Submitted: 2024-10-27

Updated: 2026-09-09

Comments: IJCAI2025 accepted

Code: https://github.com/facebookresearch/habitat-lab

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Experience Replay — 45× in this paper
• Reinforcement Learning — 44× in this paper · explained in 4 episodes
• Action Space — 14× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 9× in this paper · explained in 2 episodes
• Adaptability — 8× in this paper · explained in 1 episode
• Efficient Diversity-based Experience Replay — 8× in this paper
• Ablation — 7× in this paper · explained in 1 episode
• Hindsight Experience Replay — 7× in this paper
• Prioritized Experience Replay — 7× in this paper
• Sample Efficiency — 7× in this paper · explained in 4 episodes
• Actor — 6× in this paper · explained in 3 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Ablation Studies — 3× in this paper · explained in 1 episode
• Determinantal Point Process — 3× in this paper
• Adaptation — 2× in this paper · explained in 1 episode
• Computational overhead — 2× in this paper · explained in 2 episodes
• Deep Q-Network — 2× in this paper
• Embodied AI — 2× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 2× in this paper · explained in 25 episodes
• Reward Function — 2× in this paper · explained in 2 episodes
• Topological Experience Replay — 2× in this paper
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Deep Deterministic Policy Gradient — 1× in this paper
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Non-stationarity — 1× in this paper · explained in 2 episodes
• Q-learning — 1× in this paper · explained in 3 episodes
• Vector Representations — 1× in this paper · explained in 2 episodes

Sources

• Discriminator Rejection Sampling
• Dealing with Sparse Rewards in Reinforcement Learning
• Topological Experience Replay
• Distributed Prioritized Experience Replay
• Playing Atari with Deep Reinforcement Learning
• Actor Prioritized Experience Replay
• Prioritized Experience Replay
• Implementing Homomorphic Encryption Based Secure Feedback Control for Physical Systems

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