Atari Games
The Atari 2600 Games task (and dataset) involves training an agent to achieve high game scores.
( Image credit: Playing Atari with Deep Reinforcement Learning )
Leaderboards
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Latest papers without code
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback
The output of the feedback neural network is converted to a shaping reward that is augmented to the reward provided by the environment.
The Past and Present of Imitation Learning: A Citation Chain Study
Imitation Learning is a promising area of active research.
Episodic Reinforcement Learning with Associative Memory
Sample efficiency has been one of the major challenges for deep reinforcement learning.
Clustered Reinforcement Learning
Exploration strategy design is one of the challenging problems in reinforcement learning~(RL), especially when the environment contains a large state space or sparse rewards.
Reinforcement Learning with Structured Hierarchical Grammar Representations of Actions
From a young age humans learn to use grammatical principles to hierarchically combine words into sentences.
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations
Deep reinforcement learning has succeeded in sophisticated games such as Atari, Go, etc.
Exploration via Flow-Based Intrinsic Rewards
Exploration bonuses derived from the novelty of observations in an environment have become a popular approach to motivate exploration for reinforcement learning (RL) agents in the past few years.
CopyCAT: Taking Control of Neural Policies with Constant Attacks
We propose a new perspective on adversarial attacks against deep reinforcement learning agents.
Value-Driven Hindsight Modelling
Value estimation is a critical component of the reinforcement learning (RL) paradigm.
Model Based Reinforcement Learning for Atari
We describe Simulated Policy Learning (SimPLe), a complete model-based deep RL algorithm based on video prediction models and present a comparison of several model architectures, including a novel architecture that yields the best results in our setting.