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Found 4 papers, 2 papers with code
Towards robust and domain agnostic reinforcement learning competitions
Reinforcement learning competitions have formed the basis for standard research benchmarks, galvanized advances in the state-of-the-art, and shaped the direction of the field.
Discriminator Soft Actor Critic without Extrinsic Rewards
The methods based on reinforcement learning, such as inverse reinforcement learning and generative adversarial imitation learning (GAIL), can learn from only a few expert data.
Random Projection in Neural Episodic Control
End-to-end deep reinforcement learning has enabled agents to learn with little preprocessing by humans.
Faster Deep Q-learning using Neural Episodic Control
The research on deep reinforcement learning which estimates Q-value by deep learning has been attracted the interest of researchers recently.
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