AutonomousAgentsLab / cr-dv3Links
DreamerV3 implementation of Curious Replay, a method for prioritizing experience replay that is tailored to model-based reinforcement learning agents.
☆37Updated 2 years ago
Alternatives and similar repositories for cr-dv3
Users that are interested in cr-dv3 are comparing it to the libraries listed below
Sorting:
- Standardized Minecraft Diamond Environment for Reinforcement Learning☆33Updated 2 years ago
- Code for "Unsupervised Zero-Shot RL via Functional Reward Representations"☆57Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆82Updated 2 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆86Updated 3 years ago
- ☆55Updated 2 years ago
- Fast reinforcement learning research☆61Updated last year
- Challenging Memory-based Deep Reinforcement Learning Agents☆109Updated last year
- Docker containers of baseline agents for the Crafter environment☆30Updated 4 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆74Updated last year
- ☆35Updated 3 years ago
- ☆32Updated last year
- Author implementation of Monte Carlo Augmented Actor Critic in PyTorch☆18Updated 3 years ago
- Foundation Policies with Hilbert Representations (ICML 2024)☆105Updated 4 months ago
- ☆52Updated 3 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆57Updated last month
- PushWorld: A benchmark for manipulation planning with tools and movable obstacles☆90Updated 3 weeks ago
- Evaluating long-term memory of reinforcement learning algorithms☆163Updated 2 years ago
- CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery☆83Updated 3 years ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆59Updated 3 years ago
- Benchmarking RL for POMDPs in Pure JAX [Code for "Structured State Space Models for In-Context Reinforcement Learning" (NeurIPS 2023)]☆112Updated 2 years ago
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 3 years ago
- METRA: Scalable Unsupervised RL with Metric-Aware Abstraction (ICLR 2024)☆84Updated 2 years ago
- Reproduction of Dreamerv1 and v2 in pytorch for deepmind control suite☆48Updated 3 years ago
- Code for "SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning"☆89Updated 3 months ago
- Modular Single-file Reinfocement Learning Algorithms Library☆38Updated 2 years ago
- Discovering and Achieving Goals via World Models, NeurIPS 2021☆87Updated 2 years ago
- Corax: Core RL in JAX☆38Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆104Updated 3 years ago
- Implementation of Diversity Is All You Need (DIAYN) on top of Stable Baselines 3.☆13Updated 3 years ago
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆76Updated 2 years ago