ChienFeng-hub / meow
[NeurIPS 2024] Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
☆24Updated 3 months ago
Alternatives and similar repositories for meow:
Users that are interested in meow are comparing it to the libraries listed below
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆64Updated 8 months ago
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆62Updated last year
- Source files to replicate experiments in my ICLR 2022 paper.☆67Updated 7 months ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 3 months ago
- Model-Based Reinforcement Learning via Latent-Space Collocation.☆32Updated last year
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆76Updated 2 months ago
- Code for Latent Action Space for Offline Reinforcement Learning [CoRL 2020]☆51Updated 3 years ago
- Simple maze environments using mujoco-py☆54Updated last year
- Lipschitz-constrained Unsupervised Skill Discovery (ICLR 2022)☆34Updated last year
- Extreme Q-Learning: Max Entropy RL without Entropy☆84Updated 2 years ago
- Synthetic Experience Replay☆86Updated 8 months ago
- ☆70Updated 4 months ago
- My Body Is A Cage☆39Updated 3 years ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆37Updated 11 months ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆68Updated 3 years ago
- Pytorch Implementation of Policy Distillation for control, which has well-trained teachers via stable_baselines3.☆56Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆101Updated 2 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- EARL: Environment for Autonomous Reinforcement Learning☆36Updated 2 years ago
- Meta-RL Model-Based Algorithm☆29Updated 8 months ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆79Updated last year
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆52Updated 4 years ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆76Updated 10 months ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆74Updated 2 years ago
- ☆41Updated last year
- Skeleton for scalable and flexible Jax RL implementations☆72Updated last year
- Advantage weighted Actor Critic for Offline RL☆50Updated 2 years ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 2 years ago
- Code for Posterior Sampling for Deep Reinforcement Learning, ICML 2023☆26Updated 11 months ago