AutonomousAgentsLab / cr-dv3Links
DreamerV3 implementation of Curious Replay, a method for prioritizing experience replay that is tailored to model-based reinforcement learning agents.
☆36Updated last year
Alternatives and similar repositories for cr-dv3
Users that are interested in cr-dv3 are comparing it to the libraries listed below
Sorting:
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite☆39Updated 2 years ago
- Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.☆108Updated 2 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆114Updated 3 years ago
- Official Implementation of "Can Learned Optimization Make Reinforcement Learning Less Difficult"☆24Updated 2 months ago
- Repository for "Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics" …☆16Updated last year
- Code for TRANSDREAMER: REINFORCEMENT LEARNING WITH TRANSFORMER WORLD MODELS☆25Updated last year
- Foundation Policies with Hilbert Representations (ICML 2024)☆88Updated last year
- Contains JAX implementation of algorithms for inverse reinforcement learning☆73Updated 10 months ago
- Docker containers of baseline agents for the Crafter environment☆28Updated 3 years ago
- ☆23Updated 9 months ago
- Deep Reinforcement Learning Framework done with PyTorch☆36Updated 3 months ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆51Updated 2 years ago
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆70Updated last year
- Scalable Opponent Shaping Experiments in JAX☆24Updated last year
- ☆36Updated 2 years ago
- ☆82Updated 3 months ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆75Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- Fast reinforcement learning research☆61Updated 6 months ago
- Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.☆78Updated last year
- ☆9Updated 2 years ago
- Code for the papers Hypernetworks in Meta-Reinforcement Learning (Beck et al., 2022) and Recurrent Hypernetworks are Surprisingly Strong …☆14Updated 10 months ago
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆85Updated 6 months ago
- [ICML 2023] Pre-train world model-based agents with different unsupervised strategies, fine-tune the agent's components selectively, and …☆39Updated last year
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆56Updated 2 years ago
- Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy☆18Updated 7 months ago
- Corax: Core RL in JAX☆38Updated last year
- ☆22Updated last year
- POPGym Library in JAX☆11Updated last year