cassidylaidlaw / effective-horizonLinks
Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"
☆48Updated last year
Alternatives and similar repositories for effective-horizon
Users that are interested in effective-horizon are comparing it to the libraries listed below
Sorting:
- Benchmarking RL generalization in an interpretable way.☆161Updated 2 months ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Evaluating long-term memory of reinforcement learning algorithms☆146Updated 2 years ago
- ☆48Updated 2 years ago
- Conservative Q learning in Jax☆54Updated 2 years ago
- Simple maze environments using mujoco-py☆57Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆103Updated 10 months ago
- ☆46Updated 2 years ago
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆18Updated last year
- On the model-based stochastic value gradient for continuous reinforcement learning☆55Updated 2 years ago
- Efficient seed-parallel implementation of "Breaking the Replay Ratio Barrier"☆26Updated 2 years ago
- Partially Observable Process Gym☆198Updated 2 months ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆64Updated last year
- ExORL: Exploratory Data for Offline Reinforcement Learning☆115Updated 3 years ago
- Code for Model-Free Opponent Shaping (ICML 2022)☆19Updated 2 years ago
- Deep Hierarchical Planning from Pixels☆106Updated 2 years ago
- Corax: Core RL in JAX☆38Updated last year
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆76Updated 2 years ago
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated last year
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- ☆54Updated last year
- A collection of RL algorithms written in JAX.☆103Updated 3 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆52Updated 2 years ago
- ☆31Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆89Updated 4 years ago
- Simple single-file baselines for Q-Learning in pure-GPU setting☆182Updated 5 months ago
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆20Updated last year
- Jaxplorer is a Jax reinforcement learning (RL) framework for exploring new ideas.☆13Updated last year