jys5609 / MC-LAVE-RL
ICLR 2021: "Monte-Carlo Planning and Learning with Language Action Value Estimates"
☆30Updated 11 months ago
Related projects ⓘ
Alternatives and complementary repositories for MC-LAVE-RL
- ☆17Updated last year
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆66Updated 2 years ago
- Learning to Modulate pre-trained Models in RL (Decision Transformer, LoRA, Fine-tuning)☆52Updated last month
- ☆45Updated 2 years ago
- Official code repository for Prompt-DT.☆98Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆55Updated 10 months ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆42Updated 2 years ago
- Official PyTorch implementation of "Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning" (NeurIPS 20…☆28Updated 3 months ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆67Updated 3 years ago
- Codebase for "Uni[MASK]: Unified Inference in Sequential Decision Problems"☆54Updated 4 months ago
- Implementation of Trajectory Transformer with attention caching and batched beam search☆107Updated last year
- Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…☆54Updated 5 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆76Updated last year
- Implementation of Multi-Game Decision Transformers in PyTorch☆43Updated last year
- Clean, extensible implementation of MACAW [ICML 2021]☆11Updated 2 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆99Updated 2 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆105Updated 2 years ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆52Updated 3 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆105Updated 3 months ago
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆59Updated last year
- ☆29Updated last year
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆52Updated 7 months ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆72Updated 7 months ago
- ☆47Updated last year
- Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)☆151Updated last year
- Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu☆101Updated 2 years ago
- Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)☆71Updated 2 years ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆80Updated last year
- ☆11Updated 8 months ago
- Code of the paper: Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function☆13Updated 2 years ago