MarcoMeter / endless-memory-gym
Challenging Memory-based Deep Reinforcement Learning Agents
☆93Updated 3 months ago
Alternatives and similar repositories for endless-memory-gym:
Users that are interested in endless-memory-gym are comparing it to the libraries listed below
- ExORL: Exploratory Data for Offline Reinforcement Learning☆109Updated 3 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆47Updated last year
- Evaluating long-term memory of reinforcement learning algorithms☆140Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆102Updated 2 years ago
- Baselines for gymnax 🤖☆63Updated last year
- Implementation of Trajectory Transformer with attention caching and batched beam search☆109Updated last year
- ☆70Updated 5 months ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆109Updated 5 months ago
- Clean baseline implementation of PPO using an episodic TransformerXL memory☆165Updated 7 months ago
- Benchmarking RL generalization in an interpretable way.☆142Updated this week
- Learning diverse options through the Laplacian representation.☆23Updated last year
- Deep Hierarchical Planning from Pixels☆94Updated 2 years ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/☆92Updated 4 years ago
- The Starcraft Multi-Agent challenge lite☆41Updated 5 months ago
- ☆42Updated last year
- Synthetic Experience Replay☆86Updated 8 months ago
- Partially Observable Process Gym☆175Updated 7 months ago
- Simple maze environments using mujoco-py☆54Updated last year
- Author's PyTorch implementation of TD7 for online and offline RL☆127Updated last year
- A collection of RL algorithms written in JAX.☆95Updated 2 years ago
- Prioritized Experience Replay implementation with proportional prioritization☆76Updated last year
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆64Updated 8 months ago
- An API conversion tool for popular external reinforcement learning environments☆151Updated last month
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆53Updated 2 years ago
- Contains JAX implementation of algorithms for inverse reinforcement learning☆70Updated 5 months ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆137Updated 2 months ago
- Deep Reinforcement Learning Framework done with PyTorch☆31Updated this week
- ☆213Updated 2 months ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆60Updated last year
- HIQL: Offline Goal-Conditioned RL with Latent States as Actions (NeurIPS 2023)☆76Updated 2 months ago