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Official Implementation for "In-Context Reinforcement Learning from Noise Distillation"

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High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

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Official Implementation for "In-Context Reinforcement Learning for Variable Action Spaces"

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Data-Driven NetHack Tools: Datasets (30+) and recurrent-baselines (AWAC, BC, CQL, IQL, REM)

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Official implementation of the paper "Linear Transformers with Learnable Kernel Functions are Better In-Context Models"

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Toy meta-RL environments for testing algorithms implementations

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JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️

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