abhisheknaik96 / average-reward-methods
Accompanying code for "Learning and Planning in Average-Reward Markov Decision Processes"
☆13Updated 3 years ago
Related projects: ⓘ
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- ☆56Updated 3 weeks ago
- ☆34Updated last year
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆76Updated last year
- Evaluating long-term memory of reinforcement learning algorithms☆129Updated last year
- Revisiting Rainbow☆73Updated 3 years ago
- My Body Is A Cage☆37Updated 3 years ago
- Deep Hierarchical Planning from Pixels☆85Updated last year
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆41Updated 2 months ago
- Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights…☆49Updated 2 years ago
- ☆27Updated last year
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 4 years ago
- ☆17Updated 10 months ago
- Code for Model-Free Opponent Shaping (ICML 2022)☆16Updated last year
- ExORL: Exploratory Data for Offline Reinforcement Learning☆100Updated 2 years ago
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated last year
- ☆33Updated last year
- A collection of RL algorithms written in JAX.☆92Updated 2 years ago
- Code for the paper "Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction"☆39Updated last year
- Baselines for gymnax 🤖☆57Updated last year
- TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.☆64Updated 9 months ago
- Novelty MiniGrid--NovGrid--is an extension of MiniGrid environment that allows for the world properties and dynamics to change according …☆35Updated 3 months ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆49Updated 3 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 4 years ago
- ☆27Updated 3 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆30Updated 4 years ago
- Code release for Efficient Planning in a Compact Latent Action Space (ICLR2023) https://arxiv.org/abs/2208.10291.☆90Updated last year
- ☆41Updated 5 months ago
- On the model-based stochastic value gradient for continuous reinforcement learning☆54Updated last year
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆51Updated 3 years ago