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:
- 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☆147Updated 2 years ago
- ☆48Updated 2 years ago
- Benchmarking RL generalization in an interpretable way.☆159Updated last month
- Conservative Q learning in Jax☆54Updated 2 years ago
- Learning Laplacian Representations in Reinforcement Learning☆17Updated 4 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆81Updated 2 years ago
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated last year
- ☆47Updated 2 years ago
- Single-file SAC-N implementation on jax with flax and equinox. 10x faster than pytorch☆52Updated 2 years ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆56Updated 2 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆88Updated 4 years ago
- Challenging Memory-based Deep Reinforcement Learning Agents☆102Updated 9 months ago
- ☆31Updated 2 years ago
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆19Updated last year
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆35Updated 2 years ago
- Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL☆24Updated 3 years ago
- Partially Observable Process Gym☆196Updated 2 months ago
- Simple maze environments using mujoco-py☆57Updated last year
- Object Centric Atari games☆86Updated 2 weeks ago
- Accompanying Code for "Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning", ICML 2023☆19Updated last year
- Code for Model-Free Opponent Shaping (ICML 2022)☆19Updated 2 years ago
- Extreme Q-Learning: Max Entropy RL without Entropy☆87Updated 2 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- Datasets for data-driven deep reinforcement learning with Atari (wrapper for datasets released by Google)☆120Updated 11 months ago
- Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)☆67Updated 3 years ago
- PyTorch Implementation of the Maximum a Posteriori Policy Optimisation☆76Updated 2 years ago
- CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL☆114Updated 11 months ago
- Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023☆29Updated 2 years ago
- ExORL: Exploratory Data for Offline Reinforcement Learning☆115Updated 3 years ago